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ISSN 2076-8516<br />

www.<strong>alhosn</strong>u.ae<br />

ALHOSN UNIVERSITY<br />

JOURNAL OF<br />

ENGINEERING<br />

& APPLIED<br />

SCIENCES<br />

CONTENTS<br />

Power Control-based Channel Assignment<br />

Algorithm for Wireless Mesh networks<br />

Aizaz U. Chaudhry, Roshdy H.M. Hafez,<br />

Osama Aboul-Magd<br />

Characterization <strong>of</strong> Elastic Buckling <strong>of</strong><br />

Cylindrical Liners Using Finite Element<br />

Approach<br />

A.M. Sweedan, K.M. El-Sawy<br />

Optimized 3D Mesh for the Finite Element<br />

Analysis <strong>of</strong> Laminated Composite Plate<br />

with Central Hole<br />

Khaled M. El-Sawy, Abdul Hameed<br />

Arwani<br />

Affordability, Enablement and Sustainability<br />

<strong>of</strong> Low-income Housing<br />

Mahbubur Rahman<br />

Drilling process Robust Optimization for<br />

6061 Aluminum Using Desirability<br />

Functions<br />

Mahmoud I. Awad, Elsayed Orady,<br />

Chenmaya Dandekar<br />

Neighbourhood Design and Walkability: A<br />

synthesis from Planning, Design, Transportation<br />

and Environmental Health fields<br />

Mohammed Kashef<br />

Qos Improvements in Mobile WiMAX<br />

Networks<br />

P. Rengaraju, C.H. Lung, A. Srinivasan,<br />

R.H.M. Hafez<br />

The Solar-Wind-EV Paradigm: A Strategic<br />

Policy for a Sustainable Energy Future<br />

Zuwei Yu, Tarik Aouam


ALHOSN UNIVERSITY JOURNAL<br />

OF ENGINEERING AND APPLIED SCIENCES<br />

ADVISORY BOARD<br />

(in alphabetical order)<br />

Pr<strong>of</strong>. Ghassan Aouad<br />

Salford University, UK<br />

Pr<strong>of</strong>. Goodarz Ahmadi<br />

Clarkson University, USA<br />

Pr<strong>of</strong>. Hisham Elkadi<br />

University <strong>of</strong> Ulster, UK<br />

Pr<strong>of</strong>. Jamal A. Abdalla<br />

American University <strong>of</strong> Sharjah, UAE<br />

Dr. Khaled El-Sawy<br />

United Arab Emirates University, UAE<br />

Dr. Mohamed Lachemi<br />

Ryerson University, Canada<br />

Pr<strong>of</strong>. Mufid Abdul Wahab Samarai<br />

Sharjah University, UAE<br />

Pr<strong>of</strong>. Nizar Al-Holou<br />

University <strong>of</strong> Detroit Mercy, USA<br />

Pr<strong>of</strong>. Riadh Al-Mahaidi<br />

Monash University, Austrialia<br />

Pr<strong>of</strong>. Sadik Dost<br />

University <strong>of</strong> Victoria, Canada<br />

Pr<strong>of</strong>. Ziad Saghir<br />

Ryerson University, Canada<br />

2


ISSN 2076-8516<br />

ALHOSN UNIVERSITY<br />

JOURNAL OF<br />

ENGINEERING<br />

& APPLIED<br />

SCIENCES<br />

A bi annual, refereed <strong>journal</strong> published by<br />

ALHOSN University - Abu Dhabi - UAE<br />

Volume 3 Number 1 July 2010<br />

Chairman<br />

Dr. Nasser Bin Saif Al Mansoori<br />

Editor<br />

Pr<strong>of</strong>. Abdul Rahim Sabouni<br />

Associate Editor<br />

Dr. Hamdi Sheibani<br />

Members<br />

Dr. Adel Khelifi<br />

Dr. Adnan Husnein<br />

Dr. Abdelaziz Soufyane<br />

Dr. Naima Benkari<br />

Managing Editor<br />

Dr. Al Haj Salim Mustafa<br />

Address:<br />

P.O. Box : 38772<br />

Abu Dhabi - UAE<br />

Tel. : +971 2 4070700<br />

Fax : +971 2 4070799<br />

E-mail : eng<strong>journal</strong>@<strong>alhosn</strong>u.ae<br />

Website : www.<strong>alhosn</strong>u.ae<br />

3


AHU J. <strong>of</strong> Engineering & Applied Sciences 3 (1) 2010<br />

© 2009 ALHOSN University<br />

CONTENTS<br />

Power Control-based Channel Assignment Algorithm for Wireless Mesh networks 7<br />

Aizaz U. Chaudhry, Roshdy H.M. Hafez, Osama Aboul-Magd<br />

Characterization <strong>of</strong> Elastic Buckling <strong>of</strong> Cylindrical Liners Using Finite Element Approach 17<br />

A.M. Sweedan, K.M. El-Sawy<br />

Optimized 3D Mesh for the Finite Element Analysis <strong>of</strong> Laminated Composite Plate with 31<br />

Central Hole<br />

Khaled M. El-Sawy, Abdul Hameed Arwani<br />

Affordability, Enablement and Sustainability <strong>of</strong> Low-income Housing 51<br />

Mahbubur Rahman<br />

Drilling process Robust Optimization for 6061 Aluminum Using Desirability Functions 75<br />

Mahmoud I. Awad, Elsayed Orady, Chenmaya Dandekar<br />

Neighbourhood Design and Walkability: A synthesis from Planning, Design, 87<br />

Transportation and Environmental Health fields<br />

Mohammed Kashef<br />

Qos Improvements in Mobile WiMAX Networks 107<br />

P. Rengaraju, C.H. Lung, A. Srinivasan, R.H.M. Hafez<br />

The Solar-Wind-EV Paradigm: A Strategic Policy for a Sustainable Energy Future 119<br />

Zuwei Yu, Tarik Aouam<br />

5


AHU J. <strong>of</strong> Engineering & Applied Sciences 3 (1) : 7-15 (2010)<br />

© 2009 ALHOSN University<br />

POWER CONTROL-BASED CHANNEL ASSIGNMENT<br />

ALGORITHM FOR WIRELESS MESH NETWORKS<br />

Aizaz U. Chaudhry 1 , Roshdy H. M. Hafez 1* , Osama Aboul-Magd 1<br />

1 Department <strong>of</strong> Systems and Computer Engineering, Carleton University, Ottawa, Canada<br />

ABSTRACT: The assignment <strong>of</strong> channels to radios in a multi-radio mesh network is a challenging task. In this<br />

paper, we propose a channel assignment algorithm, TICA (Topology-controlled Interference-aware Channelassignment<br />

Algorithm), which significantly improves network throughput by minimizing interference within the<br />

mesh network using a novel approach <strong>of</strong> controlling the network topology based on power control before<br />

intelligently assigning the channels to the multi radio mesh routers as well as guaranteeing network connectivity.<br />

Key words: Channel assignment algorithm; multi-radio multi-channel; power control; topology control algorithm.<br />

1. INTRODUCTION<br />

In traditional Wireless Local Area Networks (WLANs), each Access Point (AP) is connected to<br />

the wired network whereas in Wireless Mesh Networks (WMNs), only a subset <strong>of</strong> APs is<br />

connected to the wired network. An AP that is connected to the wired network is called gateway<br />

(GW). APs that do not have wired connections are called mesh routers (MRs) and they connect to<br />

the gateway through multiple hops. Similar to routers in wired networks, mesh routers in a WMN<br />

forward each other’s traffic in order to establish and maintain their connectivity [1].<br />

The IEEE 802.11a standard provides 12 non-overlapping frequency channels. A frequency reuse<br />

pattern similar to those used in cellular networks can be used to assign channels to MRs.<br />

Additionally, if a MR is equipped with more than one transceiver, we can assign multiple channels<br />

to the same router within the interference range. In a large WMN, the total number <strong>of</strong> radios<br />

(transceivers) is higher than the number <strong>of</strong> available channels. So, many links between the MRs in<br />

the WMN operate on the same set <strong>of</strong> channels and interference among transmissions on these<br />

channels decreases their utilization. Therefore, minimizing the effect <strong>of</strong> interference is required for<br />

the efficient reuse <strong>of</strong> the scarce radio spectrum. Therefore, the key issue in a Multi-Radio Multi-<br />

Channel (MRMC) WMN architecture is the Channel Assignment (CA) problem which involves<br />

assigning each radio to a channel in such a way that minimizes interference on any given channel<br />

as well as guarantees network connectivity [2].<br />

This paper addresses the channel assignment problem by proposing a centralized CA algorithm.<br />

The innovative element in the proposed CA is controlling the network topology using a power<br />

control design. The main trade <strong>of</strong>f is as follows: If all radios transmit at maximum power , then<br />

the network will have high connectivity but it will also have high interference and low throughput,<br />

on the other hand, if each radio controls its power, then the network connectivity will be less with<br />

lower interference and better throughout. Therefore, power control can give us a mechanism to<br />

trade <strong>of</strong>f connectivity with interference as illustrated in this paper. Specifically, the contributions<br />

<strong>of</strong> this work are as follows: “A new Topology-controlled Interference-aware Channel-assignment<br />

Algorithm (TICA) which intelligently assigns the available non-overlapping 802.11a frequency<br />

_________________________<br />

* Corresponding Author.<br />

E-mail : hafez@sce.carleton.ca<br />

7


AIZAZ U. CHAUDHRY, ROSHDY H.M. HAFEZ AND OSAMA ABOUL-MAGD<br />

channels to the mesh nodes with the objective <strong>of</strong> minimizing interference and, thereby, improving<br />

network throughput”.<br />

The rest <strong>of</strong> the paper is organized as follows. Section II presents the related work. Network<br />

architecture for the proposed model is presented in section III. Section IV explains the channel<br />

assignment problem and sections V and VI discuss the proposed topology control and channel<br />

assignment algorithms. Performance evaluation and results are given in section VII. The paper<br />

finally concludes in section VIII.<br />

2. BACKGROUND<br />

A neighbor-based topology control scheme in [3] is based on a Local Minimum Spanning Tree<br />

Algorithm. A location-based topology control scheme, proposed in [4], is based on an Enhanced<br />

Local Minimum Shortest-Path Tree algorithm. In centralized CA schemes such as Centralized<br />

Hyacinth (C-HYA) [5] and Traffic and Interference Aware Channel Assignment Scheme<br />

(MesTiC) [2], the traffic load is required to be known before assigning channels whereas our<br />

proposed algorithm requires no such knowledge. The Hybrid Multiple Channel Protocol (HMCP)<br />

proposed in [6] requires radios to switch between channels on a per-packet basis. In such cases,<br />

time synchronization and coordination between mesh nodes is required which is not needed in our<br />

proposed algorithm. The Breadth First Search - Channel Assignment (BFS-CA) scheme proposed<br />

in [7] requires certain number <strong>of</strong> MRs with certain number <strong>of</strong> radio interfaces to be placed at<br />

certain hops from gateway whereas our proposed algorithm simply requires all MRs to have four<br />

data radios, does not require any careful router placement strategy and works with any placement<br />

<strong>of</strong> routers as verified by the performance evaluation.<br />

3. NETWORK ARCHITECTURE<br />

We propose a model where each MR is equipped with five radios (i.e. each MR can<br />

communicate over 5 independent channels using five miniature transceivers). The model assumes<br />

that all radios conform to the IEEE802.11a standard and they work in the 5 GHz band. The MR<br />

dedicates one <strong>of</strong> the 5 radios for control and uses the remaining four radios for communications.<br />

IEEE902.11a has 12 non-overlapping channels. We dedicate channel # 12 to the control<br />

functions at all nodes. We define the term: Maximum Node Degree (MND) to denote the<br />

maximum number <strong>of</strong> independent radios dedicated for data communications with neighboring<br />

nodes. In our model the MND is 4. According to the work reported in [5], having a total <strong>of</strong> 11<br />

channels, the use <strong>of</strong> MND=4 would result in the highest possible throughput and that higher MND<br />

will not increase the throughput.<br />

4. CHANNEL ASSIGNMENT PROBLEM<br />

Given the connectivity graph, the main challenge for CAA is how to assign a channel to each<br />

radio in a way to minimize interference between MRs and ensure network connectivity. In order to<br />

achieve this, the CAA should satisfy the following constraints:<br />

In order to communicate, two nodes within TR <strong>of</strong> each other need to have a common channel<br />

assigned to their end-point radios<br />

8


POWER CONTROL-BASED CHANNEL ASSIGNMENT ALGORITHM FOR WIRELESS MESH NETWORKS<br />

<br />

<br />

<br />

<br />

Links in direct IR <strong>of</strong> each other should be assigned non-overlapping channels<br />

The number <strong>of</strong> distinct channels that can be assigned to a MR is bounded by the number <strong>of</strong><br />

radios it has<br />

The total number <strong>of</strong> non-overlapping channels is fixed<br />

Since traffic in a WMN is directed to and from the gateway, so traffic flows are likely to<br />

aggregate at routers close to gateway. Links that are expected to support heavy traffic should<br />

be given more bandwidth than others. So, these links should use a channel that is shared by a<br />

fewer number <strong>of</strong> nodes. Hence, priority in channel assignment should be given to links starting<br />

from the gateway based on number <strong>of</strong> nodes that use a link to reach the gateway.<br />

5. TOPOLOGY CONTROL ALGORITHM (TCA)<br />

Initially, the gateway broadcasts a “Hello” message on the control channel, announcing itself as<br />

the gateway. Each MR that receives this hello message on the control channel over its control<br />

radio broadcasts it again and it is flooded throughout the network. The hello message contains a<br />

hop-count field that is incremented at each hop during its broadcast. So, a MR may receive<br />

multiple copies <strong>of</strong> this message over its control radio but distance <strong>of</strong> a mesh router from gateway<br />

is the shortest path length (shortest hop count) <strong>of</strong> hello message received by MR through its<br />

control radio over different paths. In this way, each MR knows the next hop to reach the gateway<br />

using its control radio.<br />

Our proposed TCA controls the network topology by selecting the nearest neighbors for each<br />

node in the network with the objective <strong>of</strong> minimizing interference among mesh routers. The<br />

proposed TCA is based on the following assumptions:<br />

A. Assumptions<br />

All nodes start with the maximum transmission power.<br />

Each node has its location information.<br />

Each node uses an omni-directional antenna for both transmission and reception.<br />

Each node is able to adjust its own transmission power.<br />

The maximum transmission power is the same for all nodes.<br />

The maximum TR for any two nodes to communicate directly is also the same.<br />

The initial topology graph created, when every node transmits with maximum power, is<br />

strongly connected.<br />

B. Phases <strong>of</strong> TCA<br />

1) Exchange <strong>of</strong> information between nodes<br />

In the first exchange, each node broadcasts a Hello message at maximum power containing its<br />

node id and position.<br />

2) Building the Maximum Power Neighbor Table (MPNT)<br />

From the information in the received Hello messages, each node arranges its neighboring nodes<br />

in ascending order <strong>of</strong> their distance. The result is MPNT. Then, each node sends its MPNT along<br />

with its position and node id to the gateway using its control radio.<br />

9


AIZAZ U. CHAUDHRY, ROSHDY H.M. HAFEZ AND OSAMA ABOUL-MAGD<br />

3) Building the Direct Neighbor Table (DNT)<br />

For each node in the network, the gateway builds a DNT. Based on information in the<br />

neighbor’s MPNT and the total number <strong>of</strong> nodes in the MPNT <strong>of</strong> a node v, gateway eliminates a<br />

node w from MPNT <strong>of</strong> node v if node w is closer to any other node y in the MPNT <strong>of</strong> node w than<br />

MRs send MPNT to GW<br />

GW runs TCA & builds connectivity graph<br />

Connected<br />

GW checks resulting<br />

network for connectivity<br />

Not connected<br />

GW builds SPT based on minimum power<br />

GW moves to a<br />

higher TCA<br />

For each link in SPT, GW builds link ranking<br />

GW assigns 11 available<br />

channels to 11 highest ranked<br />

links<br />

For 12 th ranked link and onwards,<br />

GW checks channel assignment<br />

within its IR neighborhood<br />

If any node in the SPT<br />

has MND > 4<br />

Connected<br />

No<br />

Yes<br />

GW keeps four links with the<br />

minimum weight<br />

Yes<br />

If GW finds channels that are not<br />

assigned to any link within IR <strong>of</strong> a link<br />

No<br />

Not connected<br />

GW checks resulting<br />

network for connectivity<br />

GW assigns channel with<br />

highest channel number<br />

GW selects a LIC<br />

GW moves to a<br />

higher TCA<br />

Similarly, GW assigns<br />

channels to all links<br />

Figure 1. Topology-controlled Interference-aware Channel-assignment Algorithm (TICA)<br />

to node v.<br />

If after removing nodes from MPNT <strong>of</strong> node v, the remaining number <strong>of</strong> nodes in MPNT <strong>of</strong><br />

node v is equal to “x-1”, then gateway selects “x” nearest nodes as neighbors <strong>of</strong> node v which<br />

results in the DNT. However, after removing nodes from MPNT <strong>of</strong> node v, if the remaining<br />

number <strong>of</strong> nodes is greater than or equal to “x”, the result is DNT. We call the above algorithm as<br />

select x for less than x TCA where x is a positive integer.<br />

4) Converting into bi-directional links<br />

For each node in the network, the gateway converts the uni-directional links in the DNT <strong>of</strong> a<br />

node into bi-directional links. For each uni-directional link, this is done by adding a reverse link in<br />

the DNT <strong>of</strong> the neighboring node. This converts the DNT into Bi-directional DNT. This results in<br />

the Final Neighbor Table (FNT).<br />

5) Calculating the minimum power required<br />

For each node in the network, gateway calculates minimum power required to reach each <strong>of</strong> the<br />

nodes in FNT <strong>of</strong> a node, using appropriate propagation model formulas. If distance between two<br />

nodes u and v is less than cross over distance, i.e. d( u,v ) < Cross_over_dist, Free Space model is<br />

used whereas if d( u,v ) > Cross_over_dist, Two-ray model is used. Cross over distance is<br />

calculated using following expression [8]:<br />

4<br />

hth r<br />

Cross _ over _ dist <br />

<br />

<br />

10


POWER CONTROL-BASED CHANNEL ASSIGNMENT ALGORITHM FOR WIRELESS MESH NETWORKS<br />

where h t and h r are the antenna heights <strong>of</strong> the transmitter and receiver respectively.<br />

The free-space propagation model is given by following expression [8]:<br />

2<br />

RxThresh(4d<br />

)<br />

(2)<br />

P <br />

min<br />

2<br />

G t<br />

G r<br />

<br />

The two-ray model is given by the following expression [8]:<br />

4<br />

RxThresh(<br />

d )<br />

(3)<br />

Pmin<br />

<br />

2 2<br />

GtGrht<br />

hr<br />

where G t and G r are transmitter and receiver antenna gains respectively. RxThresh is the power<br />

required by radio interface <strong>of</strong> the receiving node to correctly receive the message.<br />

6. CHANNEL ASSIGNMENT ALGORITHM (CAA)<br />

The problem <strong>of</strong> assigning channels to links in a mesh network is NP-hard based on its mapping<br />

to graph-coloring problem [5] and standard graph-coloring algorithms can not satisfy all <strong>of</strong> its<br />

constraints. Also, the CA problem for mesh networks looks similar to the list coloring problem<br />

which is NP-complete [9]. Therefore, we propose an approximate algorithm for channel<br />

assignment. Our proposed algorithm, TICA, as shown in Figure 1, has following phases:<br />

A. Topology Control<br />

In order to create the network connectivity graph with the aim <strong>of</strong> reducing the interference<br />

between MRs, network topology is controlled using power control at each MR. All nodes send<br />

their MPNTs to gateway using their control radio. Note that in order to send its MPNT to gateway,<br />

each MR knows the next hop to reach gateway using its control radio via gateway advertisement<br />

process. Gateway starts with the select 1 for less than 1 TCA and builds FNTs for all nodes.<br />

B. Connectivity Graph<br />

Based on the information <strong>of</strong> the FNTs <strong>of</strong> all nodes, gateway builds the connectivity graph. The<br />

gateway checks the resulting network for connectivity to ensure that it can reach any node in the<br />

SPT directly or through intermediate hops. If resulting network is not connected, gateway moves<br />

to a higher TCA by incrementing x in the select x for less than x TCA.<br />

C. Minimum Power based SPT with a MND <strong>of</strong> 4<br />

After ensuring that the connectivity graph is connected, the gateway builds the SPT based on<br />

the connectivity graph. The metric for path selection is minimum power. While building the SPT,<br />

gateway ensures that each node can have only 4 TR neighbors and builds a SPT with a MND <strong>of</strong> 4<br />

per node. If any node in the SPT has more than four links, gateway selects those four links for that<br />

node which have the minimum weight and sets weight <strong>of</strong> all other links to infinity. The gateway<br />

checks the resulting SPT graph for connectivity. If resulting SPT graph is not connected, gateway<br />

moves to a higher TCA.<br />

D. Link Ranking<br />

To assign channels to links <strong>of</strong> SPT, gateway calculates the rank <strong>of</strong> each link. If l is the link and<br />

x is node using link l, then rank <strong>of</strong> link l, i.e. r l , is given by:<br />

r<br />

l<br />

I x , l<br />

(4) I x,l is 1 if node x is using link l and 0<br />

x<br />

otherwise. In case <strong>of</strong> links with same rank, link whose power <strong>of</strong> farthest node to gateway is<br />

11


AIZAZ U. CHAUDHRY, ROSHDY H.M. HAFEZ AND OSAMA ABOUL-MAGD<br />

smallest is given highest rank. If there are still links with same rank, link with smallest node ids is<br />

given highest rank.<br />

E. Channel Assignment<br />

The algorithm then assigns a channel to each link according to its rank and it begins with<br />

assigning the 11 available channels to the 11 highest ranked links such that channel 1 is assigned<br />

to the first ranked link.<br />

For the 12th ranked link and onwards, gateway checks the channel assignment <strong>of</strong> all the links<br />

within IR <strong>of</strong> both nodes that constitute that link. If gateway finds one or more channels among the<br />

11 available channels that are not assigned to any link within IR neighborhood <strong>of</strong> the 12th ranked<br />

link, it assigns that channel from the unassigned channels to the 12th ranked link which has the<br />

highest channel number.<br />

1) Least Interfering Channel (LIC)<br />

If gateway cannot find any channel, among the 11 available channels, that is not assigned to<br />

any link within IR neighborhood <strong>of</strong> the 12th ranked link, it selects a LIC and assigns it to that link.<br />

2) Interference Level(IL)<br />

To find out LIC, gateway builds IL for all 11 channels. LIC is the channel with minimum IL<br />

which means that assigning this channel to the 12th ranked link results in minimum interference in<br />

the network.<br />

In order to build IL for channel one, gateway finds all links within IR <strong>of</strong> either <strong>of</strong> the two nodes<br />

that constitute the 12th ranked link that use channel one and calculates IL <strong>of</strong> each link based on its<br />

rank and distance from the nodes that constitute the 12th ranked link. It sums up the individual ILs<br />

<strong>of</strong> all links, that use channel one within the IR <strong>of</strong> either <strong>of</strong> the two nodes that constitute the 12th<br />

ranked link, to find out the total IL for channel one. This is done by using the following equation:<br />

( IL)<br />

i<br />

<br />

<br />

<br />

r <br />

1 <br />

<br />

<br />

<br />

R d<br />

<br />

<br />

<br />

1<br />

<br />

<br />

<br />

r <br />

1 <br />

<br />

<br />

<br />

R d<br />

<br />

<br />

<br />

2<br />

<br />

r <br />

1 <br />

....... <br />

<br />

<br />

<br />

R d<br />

<br />

<br />

<br />

<br />

n<br />

(5) where IL is interference level <strong>of</strong> channel i, r<br />

is rank <strong>of</strong> the link using channel i, R is maximum rank assigned to a link in SPT, d is distance <strong>of</strong><br />

either <strong>of</strong> nodes on link using channel i to either <strong>of</strong> the two nodes that constitute 12th ranked link, <br />

is 2 or 4 depending on cross over distance, i is the channel and has value between 1 and 11, n is<br />

link using channel i which is within IR <strong>of</strong> either <strong>of</strong> the two nodes that constitute 12th ranked link.<br />

If a link is emanating from either <strong>of</strong> the two nodes that constitute the 12th ranked link and a<br />

channel has been assigned to that link, then IL for this channel is set to infinity. LIC is selected<br />

using following equation:<br />

IL LIC<br />

minIL1 , IL2<br />

,........, IL11<br />

(6)<br />

Similarly, the gateway assigns channels to all the links in the SPT. Using its control radio,<br />

gateway then sends each mesh node the CA message. For each channel assigned to a MR, channel<br />

assignment contains the channel number and the neighbor node to communicate with using this<br />

channel. The CA message also contains the next hop to reach gateway. Based on channel assigned<br />

to a MR to communicate with a neighbor and its distance to that neighbor, MR applies power<br />

control and adjusts its transmission power accordingly.<br />

12


POWER CONTROL-BASED CHANNEL ASSIGNMENT ALGORITHM FOR WIRELESS MESH NETWORKS<br />

7. PERFORMANCE EVALUATION<br />

The performance <strong>of</strong> our proposed algorithm, TICA, for MRMC WMNs is compared against a<br />

“Single-Radio Single-Channel” (SRSC) scheme and a “Common Channel Assignment” (CCA)<br />

scheme for multi-radio mesh nodes. In CCA scheme [2], all MRs have four radio interfaces. The<br />

first radio on each MR is tuned to first non-overlapping channel; the second radio is tuned to<br />

second non-overlapping channel and so on. Note that in CCA and SRSC schemes, all nodes<br />

transmit with same the maximum power and use AODV (Ad hoc On-Demand Distance Vector)<br />

routing protocol [10].<br />

F. Simulation Environment<br />

For the performance evaluation via throughput analysis, NS2 (version 2.30) [11] simulation<br />

tool is used. Multi-interface wireless mesh nodes are created in NS2 by modifying the original<br />

node model in NS2 using the procedure given in [12].<br />

All radios are IEEE 802.11a radios and support 12 channels. As per the IEEE 802.11 standard<br />

[13], RxThresh is set equal to -65 dBm in order to achieve a maximum data rate <strong>of</strong> 54 Mbps<br />

supported by IEEE 802.11a. In order to achieve a strongly connected topology, the maximum<br />

transmission power for all the radios is set to 27 dBm. RTS/CTS is disabled.<br />

G. Network Topologies<br />

Three topologies are used in the evaluation and each consists <strong>of</strong> 36 MRs distributed in an area<br />

<strong>of</strong> 500 m × 500 m. Topology 1 is a grid and topology 2 is randomly generated while in topology 3,<br />

called controlled random, physical terrain is divided into cells and a MR is placed randomly in<br />

each cell.<br />

H. Simulation Parameters in NS2<br />

Based on CA by gateway, IEEE 802.11a channels are assigned to links between MRs and<br />

transmission power for each radio <strong>of</strong> each MR is set accordingly. The physical (PHY) and MAC<br />

(Medium Access Control) layer settings used for simulation are shown in Table I and Table II,<br />

respectively.<br />

All MRs at the periphery <strong>of</strong> network send traffic to gateway simultaneously. So, this represents<br />

scenario in which multiple flows within mesh network interfere with each other. Each <strong>of</strong> these<br />

nodes generates an 8 Mbps Constant Bit Rate UDP traffic stream consisting <strong>of</strong> 1024 byte packets.<br />

They start at 1 second and do not stop until the end <strong>of</strong> simulation (600 seconds).<br />

Table I. PHY Layer Configuration in NS2<br />

Physical Layer Parameters<br />

Settings<br />

TX/RX Antenna Height (m) 3<br />

Gain <strong>of</strong> TX/RX Antenna (dB) 1<br />

Packet Capture Threshold (dB) 10<br />

Packet Reception Threshold (watts)<br />

3.16227e-10<br />

Carrier Sense Threshold (watts)<br />

7.91359e-11<br />

Table II. MAC layer Configuration in NS2<br />

13


AIZAZ U. CHAUDHRY, ROSHDY H.M. HAFEZ AND OSAMA ABOUL-MAGD<br />

MAC Layer Parameters<br />

Settings<br />

Minimum Contention Window 15<br />

Maximum Contention Window 1023<br />

Slot Time (micro seconds) 9<br />

SIFS period (micro seconds) 16<br />

Preamble Length (bits) 96<br />

PLCP Header Length (bits) 24<br />

Basic Rate (Mbps) 6<br />

Data Rate (Mbps) 54<br />

80<br />

70<br />

TICA<br />

CCA<br />

SRSC<br />

60<br />

Average Throughput (Mbps)<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

0 Random Controlled Random Grid<br />

TOPOLOGY<br />

Figure 2. Average Throughput <strong>of</strong> all schemes for the three topologies<br />

80<br />

70<br />

TICA<br />

CCA<br />

SRSC<br />

60<br />

Average Throughput (Mbps)<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

1 2 3 4 5 6 7 8 9 10<br />

Topology Number<br />

Figure 3. Average Throughput for ten random topologies<br />

80<br />

70<br />

TICA<br />

CCA<br />

SRSC<br />

60<br />

Average Throughput (Mbps)<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

1 2 3 4 5 6 7 8 9 10<br />

Topology Number<br />

Figure 4. Average Throughput for ten controlled random topologies<br />

I. Simulation Results<br />

Figure 2 shows a graphical comparison <strong>of</strong> average throughput <strong>of</strong> all schemes for the three topologies.<br />

As compared to CCA scheme, throughput improvement with TICA is 76% for random topology, 1244%<br />

for controlled random topology and 1341% for grid topology. In comparison to SRSC scheme, throughput<br />

improvement with TICA is 319% for random topology, 10863% for controlled random topology and<br />

13941% for grid topology.<br />

14


POWER CONTROL-BASED CHANNEL ASSIGNMENT ALGORITHM FOR WIRELESS MESH NETWORKS<br />

Figures 3 and 4 show average throughput <strong>of</strong> all schemes for ten different random and controlled random<br />

topologies, respectively. These results clearly indicate that our proposed algorithm, TICA, significantly<br />

outperforms other schemes for all topologies.<br />

8. CONCLUSION<br />

This paper addresses the trade-<strong>of</strong>f between connectivity and throughput <strong>of</strong> wireless mesh networks. If<br />

nodes are allowed to transmit at maximum power, the connectivity will be high but the excessive<br />

interference will reduce the overall network throughput. This paper proposes and evaluates algorithms that<br />

allow the designer to choose the appropriate balance between connectivity and throughput. The algorithm<br />

assumes that each node has multiple independent radios, and calls for careful calculation <strong>of</strong> transmitted<br />

power to achieve the required connectivity with minimum interference. The new algorithm is termed TICA<br />

(Topology-controlled Interference-aware Channel Assignment Algorithm). The algorithm performance<br />

was tested on three types <strong>of</strong> network topologies, Random topology, Controlled Random and Regularly<br />

spaced nodes. The improvement in the overall network throughput due to the proposed TICA is<br />

significantly higher than the conventional CCA scheme and is much higher than the SRSC scheme in all<br />

three topologies. This is due to the fact that power control results in an efficient frequency reuse which<br />

leads to improvement in the network throughput.<br />

9. REFERENCES<br />

[1.] N. Nandiraju et al., “Wireless Mesh Networks: Current Challenges and Future Directions <strong>of</strong> Web-In-<br />

The-Sky,” IEEE Wireless Communications 14(4), pp. 79-89, August 2007.<br />

[2.] H. Skalli, S. Ghosh, S. K. Das, L. Lenzini, and M. Conti, “Channel assignment strategies for multiradio<br />

wireless mesh networks: Issues and solutions,” IEEE Comm. Magazine, 45(11), pp. 86-93,<br />

November 2007.<br />

[3.] N. Li, J. Hou, and L. Sha, “Design and analysis <strong>of</strong> an MST-based topology control algorithm,” IEEE<br />

Transactions on Wireless Communications , 4(3), pp. 1195- 1206, May 2005<br />

[4.] F. O. Aron, T. O. Olwal, A. Kurien and Y. Hamam, “Network preservation through a topology<br />

control algorithm for wireless mesh networks,” in Proc. 2nd IASTED Africa Conference on Modelling<br />

and Simulation, September 2008.<br />

[5.] A. Raniwala, K. Gopalan, and T. Chiueh, “Centralized channel assignment and routing algorithms for<br />

multi-channel wireless mesh networks,” ACM MC2R 8(2), pp. 50-65, April 2004.<br />

[6.] P. Kyasanur and N. Vaidya., “Routing and Interface Assignment in Multi-Channel Multi-Interface<br />

Wireless Networks,” in Proc. IEEE WCNC, 4, pp. 2051-2056, March 2005.<br />

[7.] K. Ramachandran, E. Belding, K. Almeroth, and M. Buddhikot, “Interference-Aware Channel<br />

Assignment in Multi-Radio Wireless Mesh Networks,” in Proc. IEEE INFOCOM, April 2006.<br />

[8.] T. Rappaport, “Wireless Communications: Principles and Practice,” 2nd Ed. Prentice Hall, Upper<br />

Saddle River, NJ, 2002.<br />

[9.] K. Rosen, “Discrete Mathematics and its Applications,” McGraw Hill, 1999.<br />

[10.] Ad Hoc On-Demand Distance Vector (AODV) Routing Ptotocol, RFC3561,<br />

http://www.ietf.org/rfc/rfc3561.txt<br />

[11.] The VINT Project, “Network Simulator – NS2,” http://www.isi.edu/nsnam/ns/<br />

[12.] R. A. Calvo and J. P. Campo, “Adding Multiple Interface Support in NS-2,” University <strong>of</strong> Cantabria,<br />

January 2007.<br />

[13.] "IEEE Standard for IT-Telecom. and Info. Exchange Between Systems-Local and Metropolitan Area<br />

Networks-Specific Requirements - Part 11: Wireless LAN MAC and PHY Specifications," IEEE Std<br />

802.11-2007 (Revision <strong>of</strong> IEEE Std 802.11-1999) , June 2007<br />

15


AHU J. <strong>of</strong> Engineering & Applied Sciences 3 (1) : 17-30 (2010)<br />

© 2009 ALHOSN University<br />

CHARACTERIZATION OF ELASTIC BUCKLING OF<br />

CYLINDRICAL LINERS USING FINITE ELEMENT<br />

APPROACH<br />

A. M. Sweedan 1* K. M. El-Sawy 1<br />

1 Civil and Environmental Eng. Faculty <strong>of</strong> Eng., UAE University, P.O.Box: 17755, Al Ain, U.A.E.<br />

ABSTRACT: The results <strong>of</strong> a numerical study to evaluate the elastic buckling pressure, thrusts and bending<br />

moments <strong>of</strong> slender liners are reported. The adopted finite element model accounts for the non-linearity effects <strong>of</strong><br />

large deformations and geometric imperfections on the stability <strong>of</strong> analyzed cylindrical liners. Results <strong>of</strong> finite<br />

element analysis are used to identify the critical buckling pressure and the associated maximum thrust and moment.<br />

In addition, several analytical and numerical solutions for the same problem are critically reviewed; namely Lo and<br />

Zhang, Thépot, and Madryas and Szot solutions. An extensive finite element analyses are conducted to evaluate the<br />

elastic buckling pressure and the associated thrust and bending moment at buckling <strong>of</strong> cylindrical liners with various<br />

dimensions. Obtained numerical results are then compared to relevant predictions provided by other solutions to<br />

investigate the influence <strong>of</strong> approximations adopted by such solutions on the accuracy <strong>of</strong> the predicted values.<br />

Comparison reveals the adequacy <strong>of</strong> some <strong>of</strong> these methods while others are shown to be on the non-conservative<br />

side and, therefore, may be used with caution for design/check purposes.<br />

Key words: Elastic Buckling, Liners, Finite Element Method, Non-Linear Analysis.<br />

1. INTRODUCTION<br />

Despite the fact that most <strong>of</strong> the damaged pipelines are partially deteriorated, they require<br />

renovation to prevent potential leakage. One solution is to apply an internal flexible polymeric<br />

liner to the pipeline. These liners are <strong>of</strong>ten installed in pipelines that lie below the water table,<br />

and as such they are subjected to external hydrostatic pressure which is transmitted through the<br />

leaking cracked pipeline. In this case, the liner carries only the pressures from the contained fluid<br />

and the external groundwater pressure. In addition, due to some installation considerations, the<br />

liner is temporarily subjected to an additional pressure when grout is pumped around the liner to<br />

fill any annular gaps between the liner and its host pipeline.It is experimentally evident that the<br />

encased liner subject to external pressure may buckle and cannot withstand any additional<br />

pressure at a critical pressure, which is well above the one for the unsupported (free) liner<br />

[1,2,3,4 and 5]. For slender liners commonly used in practice it is assumed, and confirmed<br />

experimentally, that geometrical instability (i.e. elastic buckling) occurs first before any material<br />

failure. The study presented herein is restricted to the case <strong>of</strong> elastic slender liners only. The<br />

typical fundamental buckling mode shape is shown in Fig. 1(b) along with the initial liner’s<br />

geometry depicted by Fig. 1(a). Real conditions in which liners are installed (i.e. non-uniform<br />

groundwater pressure and any possible debris at the bottom <strong>of</strong> the host pipe) hint that the liner<br />

most probably will buckle at the invert in a one-lobe buckling mode (Fig. 1(b)). In addition,<br />

theoretical potential energy balance <strong>of</strong> the liner system indicates that the one-lobe mode<br />

corresponds to the minimum critical pressure.<br />

_______________________________________<br />

* Corresponding Author. Tel.: +971-3-762 3154<br />

E-mail : amr.sweedan@uaeu.ac.ae<br />

17


A.M. SWEEDAN, K.M. EL-SAWY<br />

Pressure<br />

Load<br />

Pressure<br />

Load<br />

Soil<br />

R o<br />

R<br />

Liner<br />

Soil<br />

Single Lobe<br />

Liner<br />

gap = d<br />

Rigid Host Pipe<br />

(a) Initial Liner Geometry<br />

Rigid Host Pipe<br />

(b) Single-Lobe Buckling Mode<br />

Fig. 1. Initial geometry and fundamental buckling mode <strong>of</strong> cylindrical liners.<br />

In the current study, finite element method is utilized to investigate elastic buckling <strong>of</strong> slender<br />

liners. The induced critical thrust and bending moment at buckling are also evaluated<br />

numerically.<br />

2. PREDICTION OF CRITICAL BUCKLING LOAD<br />

The buckling <strong>of</strong> an unsupported circular ring subjected to an external pressure was first studied<br />

by Levy [6]. The buckling pressure, P , for a ring <strong>of</strong> radius, R<br />

cr<br />

o , cross sectional moment <strong>of</strong> inertia,<br />

I, and modulus <strong>of</strong> elasticity, E, is defined by<br />

3 EI<br />

(1)<br />

P<br />

cr<br />

=<br />

R<br />

The elastic solution for a pipe with wall thickness, t, is adopted from the ring case by simply<br />

2<br />

adjusting the elastic Young’s modulus E, to be E ' E /(1 ) (where is the Poisson’s ratio for<br />

the liner material) and the moment <strong>of</strong> inertia I, to be t 3 /12. Thus, P cr<br />

for the pipe case can be<br />

defined as<br />

3<br />

o<br />

3 EI<br />

Pcr<br />

=<br />

2<br />

(1 -<br />

) R<br />

3<br />

o<br />

E'<br />

<br />

<br />

4<br />

<br />

<br />

The encased liner stability problem appeared in the literature in many different forms according<br />

to the <strong>engineering</strong> application being examined. The most common stability problem types are<br />

encased liner subjected to thermal expansion, or under external pressure loading. The two types<br />

differ significantly in their boundary conditions. For the thermal expansion problem, the detached<br />

part <strong>of</strong> the liner due to buckling has no longer any contact pressure acting on it. On the other<br />

hand, for the external pressure case, the detached portion <strong>of</strong> the encased liner is still subjected to<br />

the <strong>applied</strong> pressure. It is therefore important to distinguish between these two types in the<br />

literature review <strong>of</strong> the stability problem.<br />

Due to the installation techniques <strong>of</strong> liners and the nature <strong>of</strong> the lined element, some<br />

imperfections may develop. These imperfections lead to deviation <strong>of</strong> the encased liner problem<br />

t<br />

R<br />

o<br />

<br />

<br />

<br />

3<br />

(2)<br />

18


CHARACTERIZATION OF ELASTIC BUCKLING OF CYLINDRICAL LINERS USING FINITE ELEMENT APPROACH<br />

from the ideal case <strong>of</strong> tightly fitted cylindrical liner. Three major imperfection types are<br />

considered in literature and are listed as follows:<br />

gap between the liner and the host element,<br />

ovality in the host element which is consequently reflected to the tightly fitted liner, and<br />

longitudinal wrinkle (or wavy imperfection) in the liner itself.<br />

These imperfections are responsible for the reduction <strong>of</strong> the liner stability and should be<br />

accounted for in the assessment <strong>of</strong> the liner critical pressure. The work presented herein deals<br />

with the first imperfection type (i.e. gap imperfection or the case <strong>of</strong> liner).<br />

As a result <strong>of</strong> this imperfection and as the external pressure increases, the initially loose (or<br />

unsupported) liner deforms until it contacts its surrounding rigid host. Then the behavior <strong>of</strong> the<br />

liner changes abruptly from the case <strong>of</strong> an unsupported loose liner to the case <strong>of</strong> the constrained<br />

one. The constrained liner continues to deform until it becomes geometrically unstable (i.e.<br />

buckles) or material failure occurs. As mentioned earlier, only elastic buckling is considered<br />

herein and therefore this limits the results <strong>of</strong> this study to the case <strong>of</strong> slender liners where no<br />

material failure occurs. This would raise a question about the validity <strong>of</strong> the thin liner<br />

assumption, which will be answered later at the end <strong>of</strong> this study.<br />

Researchers and code developers have employed the concept <strong>of</strong> comparing the buckling<br />

pressures for unsupported and encased circular liners. For the case <strong>of</strong> circular liner the idea has<br />

been to determine an enhancement factor which depends on the liner material, geometry and the<br />

size <strong>of</strong> the gap between the liner and its rigid host. Now the critical pressure for circular liner,<br />

P cr , can be defined as<br />

P<br />

cr<br />

= K P cr<br />

(3)<br />

where P and<br />

cr<br />

P are the buckling pressures for encased and unsupported liners respectively, and<br />

cr<br />

K is the enhancement factor, which will be discussed later in section 4.<br />

Different solutions have been developed for estimating the critical pressure <strong>of</strong> the slender liner.<br />

None <strong>of</strong> these methods have provided a validation <strong>of</strong> the thin liner assumption they are based<br />

upon. All such methods assumed smooth contact between the liner and the rigid host element (the<br />

most conservative case). They differed mainly in their basic assumptions for strain (or<br />

deformations) and geometry <strong>of</strong> the detached portion <strong>of</strong> the liner. Most <strong>of</strong> the available solutions<br />

have adopted simplifying assumptions that may or may not provide a good approximation for the<br />

liner buckling pressure.<br />

Equations for modelling single-lobe buckling <strong>of</strong> a cylindrical encased liner have been derived<br />

by Jacobsen [7] in which the single-lobe buckled portion <strong>of</strong> the liner is approximated by a cosine<br />

function representing three half-waves. The geometry <strong>of</strong> the buckled shape is shown in Fig. 2(a).<br />

Basic assumptions used by Jacobsen are listed as follows:<br />

the detached part <strong>of</strong> the liner follows a cosine function (three half-waves) super-imposed on a<br />

circle <strong>of</strong> radius ,<br />

the thrust in the detached portion <strong>of</strong> the liner is constant and equals P, and<br />

the thrust in the other portion <strong>of</strong> the liner (i.e. portion sliding on the walls <strong>of</strong> the rigid host) is<br />

constant and equals PR.<br />

The equations developed by Jacobsen’s are given as follows:<br />

19


A.M. SWEEDAN, K.M. EL-SAWY<br />

Attached Segment <strong>of</strong><br />

the Liner<br />

Pressure<br />

Load<br />

<br />

<br />

<br />

R<br />

Detached Segment<br />

<strong>of</strong> the Liner<br />

Rigid Circular<br />

Cavity<br />

(a) Jacobsen (1974)<br />

Attached Segment<br />

<strong>of</strong> the Liner<br />

Pressure<br />

Load<br />

<br />

R<br />

<br />

<br />

Detached Segment<br />

<strong>of</strong> the Liner<br />

(b) Lo and Zhang (1994)<br />

Rigid Circular<br />

Cavity<br />

Pressure<br />

Load<br />

Attached Segment <strong>of</strong><br />

the Liner<br />

Rigid Circular<br />

Cavity<br />

Deformation w 1<br />

Detached Segment<br />

<strong>of</strong> the Liner<br />

R <br />

Point O<br />

(c) Thépot (2000)<br />

,<br />

n w<br />

,<br />

s u<br />

Initial<br />

gap, d<br />

Fig. 2. Geometry <strong>of</strong> buckled liner after Jacobsen (1974), Lo and Zhang (1994) and Thépot (2000)<br />

2<br />

9<br />

<br />

2<br />

sin( )<br />

<br />

1<br />

<br />

<br />

<br />

2<br />

R 4<br />

<br />

sin( )<br />

<br />

(4)<br />

<br />

3<br />

t<br />

2<br />

sin( )<br />

d<br />

sin( )<br />

tan <br />

<br />

<br />

12<br />

<br />

<br />

1<br />

<br />

sin( )<br />

2R<br />

sin( )<br />

<br />

4<br />

<br />

<br />

20


CHARACTERIZATION OF ELASTIC BUCKLING OF CYLINDRICAL LINERS USING FINITE ELEMENT APPROACH<br />

2<br />

9<br />

<br />

<br />

<br />

3<br />

E ' R <br />

12 <br />

t <br />

<br />

1<br />

<br />

<br />

2<br />

P 4<br />

(5)<br />

sin( ) <br />

<br />

sin( )<br />

<br />

<br />

y t sin( )<br />

<br />

<br />

<br />

<br />

PRsin(<br />

)<br />

4R<br />

sin( )<br />

tan( )<br />

1 <br />

1<br />

<br />

E'<br />

2R<br />

<br />

sin( )<br />

E'<br />

t sin( )<br />

t<br />

sin( )<br />

<br />

(6)<br />

where R is radius <strong>of</strong> the rigid host pipe, R o is initial radius <strong>of</strong> the liner, t is thickness <strong>of</strong> the liner, d<br />

is the gap between the liner and the rigid host walls, P is the external liner pressure, E’ is<br />

2<br />

E /(1 ) where E is the Young’s modulus <strong>of</strong> the liner material, is the Poisson’s ratio <strong>of</strong> the<br />

liner material, y is the yield stress <strong>of</strong> the liner material, and and are geometrical quantities<br />

and are shown in Fig. 2(a).<br />

3<br />

The major criticism for Jacobsen solution is that he mixed the solution <strong>of</strong> the elastic buckling<br />

problem represented, by (4) and (5), with the condition for onset <strong>of</strong> yielding at the outermost<br />

fibres <strong>of</strong> the most heavily stressed cross-section represented by (6). Thus the solution provided a<br />

value for the pressure that corresponds to first material yielding and, <strong>of</strong> course, this happens at a<br />

value for the pressure different from the elastic buckling pressure. It is also clear from Jacobsen<br />

solution, that there is no compatibility between thrusts and bending moments in the attached and<br />

detached portions <strong>of</strong> the liner at their junction point (i.e. at the ends <strong>of</strong> the detached portion <strong>of</strong> the<br />

liner). It may also be noted that the two basic assumptions for the thrust distribution along the<br />

liner and deformed shape at buckling should be assessed.<br />

Lo and Zhang [3] studied the effect <strong>of</strong> the liner’s lack <strong>of</strong> fit on the critical pressure for curedin-place<br />

polymer liners. Figure 2(b) shows the initial configuration <strong>of</strong> the problem. The buckling<br />

pressure was derived using simple linear theory. Their basic assumptions are listed as follows.<br />

the detached part <strong>of</strong> the liner is circular with radius ,<br />

buckling <strong>of</strong> the detached portion <strong>of</strong> the liner is analogous to buckling <strong>of</strong> fixed-ended circular<br />

arch,<br />

thrust in the whole liner is constant and equals PR o where R o is the initial radius <strong>of</strong> the liner,<br />

and<br />

shortening in liner is due to thrust only, and first order terms are considered in calculating<br />

deformations.<br />

Their equations were based on satisfying the geometrical boundary conditions as follows:<br />

perimeter <strong>of</strong> deformed liner equals the original undeformed perimeter less the membrane<br />

deformations which can be expressed as a function <strong>of</strong> the liner pressure, and<br />

liner buckling pressure is analogous to the buckling pressure <strong>of</strong> a fixed-ended circular arch <strong>of</strong><br />

radius (radius <strong>of</strong> the detached part <strong>of</strong> the liner).<br />

Lo and Zhang’s solution has been reformulated earlier by El-Sawy and Moore [8] to permit<br />

direct comparison with other solutions. Accordingly, the solution for the liner critical pressure,<br />

P cr , can be represented by the following equations.<br />

21


A.M. SWEEDAN, K.M. EL-SAWY<br />

<br />

P = E'<br />

<br />

<br />

t<br />

R<br />

3<br />

<br />

<br />

<br />

<br />

<br />

<br />

sin( ) t<br />

<br />

sin( )<br />

2R<br />

-3<br />

<br />

<br />

<br />

(7)<br />

2<br />

k 1<br />

12<br />

2<br />

2<br />

-3<br />

2<br />

d<br />

sin( ) t d sin( ) t 1<br />

1 <br />

k<br />

<br />

sin( )<br />

2R<br />

R 2R<br />

sin( )<br />

2R<br />

12<br />

k tan( ) tan( k<br />

)<br />

(9)<br />

(8)<br />

where all symbols are as defined previously and in Fig. 2(b). The solution strategy starts with the<br />

assumption <strong>of</strong> a value for in (8) followed by the calculation <strong>of</strong> the corresponding and k<br />

values from (8) and (9). The pressure, P, can then be calculated from (7). The critical pressure,<br />

P cr , corresponds to the value <strong>of</strong> which maximizes the value <strong>of</strong> the pressure, P.<br />

The major criticism for Lo and Zhang’s solution is due to their inappropriate analogy between<br />

buckling <strong>of</strong> the detached portion <strong>of</strong> the liner and the buckling <strong>of</strong> the fixed-ended circular arch.<br />

The boundary conditions <strong>of</strong> the fixed-ended circular arch are inappropriate as they are associated<br />

with unknown fixed end moments at the arch ends. In the case <strong>of</strong> the liner problem, these end<br />

moments and bending moments along the attached part <strong>of</strong> the liner have a constant value defined<br />

by the constant change in curvature in the liner after deformation, where the constant change <strong>of</strong><br />

curvature equals [( 1/ R o<br />

) (1/ R)]<br />

. This moment distribution in the liner is not consistent with an<br />

arch model featuring fixed ends. Therefore, Lo and Zhang solution will be considered only in<br />

calculating the critical pressure <strong>of</strong> the liner and will not be used for any thrust or bending moment<br />

calculations.<br />

Recently, Thépot [9] has developed an analytical solution for non-circular sewer liners which,<br />

as reported by Thépot, is a general solution that can be adopted for the case <strong>of</strong> circular and noncircular<br />

liners with single-lobe and double-lobe buckling modes as well. The solution calculates<br />

the maximum pressure, P cr (i.e., buckling pressure), and thrust, N cr , and maximum bending<br />

moment, M cr , at the mid-point <strong>of</strong> the detached segment <strong>of</strong> the liner (i.e., =0) just before buckling<br />

(Fig. 2(c)). Furthermore, Thépot provided an approximate solution which can be written as:<br />

Pcr<br />

<br />

E '<br />

0.455 k<br />

2<br />

5<br />

11<br />

5<br />

t<br />

Ro<br />

N<br />

cr<br />

Pcr<br />

1.26 ,<br />

'<br />

' <br />

<br />

<br />

E Ro<br />

E <br />

3<br />

cr<br />

t <br />

<br />

2<br />

'<br />

<br />

<br />

E Ro<br />

Ro<br />

<br />

2<br />

9<br />

1.0<br />

0.41<br />

0.006<br />

2 5 5<br />

and g Ro<br />

11.65<br />

10. 0 (10)<br />

2 3 6<br />

5 5 5<br />

k t<br />

2<br />

0.1<br />

0.053<br />

0.0012<br />

<br />

2<br />

1.0<br />

0.17<br />

0.007<br />

2<br />

M (11)<br />

where g is the annular gap between the liner and the host pipe (i.e., g=d/2 for the single-lobe<br />

case), k is the number <strong>of</strong> buckled lobes (i.e., k=1 for one-lobe buckling model), and is the<br />

perimeter <strong>of</strong> the liner (i.e., =2R o for the circular liner). Thépot recommended an approximate<br />

solution based on data fitting <strong>of</strong> his analytical solution for the cases <strong>of</strong> liner gaps defined by<br />

10. Values for P cr and (Eq. 10) can be rewritten for the case <strong>of</strong> circular liner with a singlelobe<br />

as:<br />

Pcr<br />

<br />

E '<br />

0.218<br />

2<br />

1.0 0.41<br />

0.006<br />

<br />

<br />

<br />

<br />

<br />

t<br />

R<br />

o<br />

<br />

<br />

2.2<br />

and d Ro<br />

<br />

1.465<br />

<br />

10. 0 (12)<br />

Ro<br />

t <br />

4<br />

5<br />

1.2<br />

22


CHARACTERIZATION OF ELASTIC BUCKLING OF CYLINDRICAL LINERS USING FINITE ELEMENT APPROACH<br />

More recently, Madryas and Szot [10] have preformed Finite Element analyses and provided a<br />

formula for the critical pressure, P cr , <strong>of</strong> liner which is based on regression analysis for their<br />

numerical results. It is worth mentioning that their formula was part <strong>of</strong> finding another formula<br />

for the combined effect <strong>of</strong> three liner imperfection types, including the gap, ovality, and wavy<br />

imperfections. Madryas and Szot reported an approximate solution for the critical pressure, P cr ,<br />

<strong>of</strong> the liner as:<br />

<br />

<br />

2.2<br />

P cr <br />

1<br />

t<br />

(13)<br />

<br />

E '<br />

<br />

<br />

1 <br />

<br />

d <br />

0.84176 <br />

2R<br />

<br />

0.89415<br />

<br />

<br />

<br />

t<br />

R<br />

<br />

<br />

<br />

1.16189<br />

<br />

<br />

<br />

<br />

<br />

<br />

<br />

2R<br />

<br />

It is important to mention that the above formula satisfies the case <strong>of</strong> no gap and provides the<br />

well established critical pressure <strong>of</strong> the tightly fitted circular liner (Glock solution [11]) with onelobe<br />

buckling as<br />

4. FINITE ELEMENT MODELING AND ANALYSIS<br />

2.2<br />

P Glock t <br />

<br />

(14)<br />

E ' 2R<br />

<br />

The Finite Element Method is employed to solve the liner buckling problem. A strip <strong>of</strong> unit<br />

length <strong>of</strong> the liner is only considered because <strong>of</strong> the long cylindrical geometry <strong>of</strong> the liner (i.e.<br />

plane strain conditions prevail). Node-to-surface contact elements are used to simulate the<br />

contact problem while 3-noded shell elements are used to model the liner. The liner material is<br />

considered linear and elastic and the liner geometry is approximated by an ellipse with a ratio <strong>of</strong><br />

Normalized Thrust N/(E'R)*10 5<br />

for d/R=0.00 and t/R=0.01<br />

2.0<br />

Normalized Thrust N/(E'R)*10 6<br />

for d/R=0.05 and t/R=0.01<br />

2.0<br />

Normalized Thrust N/(E'R)*10 6<br />

for d/R=0.10 and t/R=0.01<br />

2.0<br />

1.0<br />

0.0<br />

-1.0<br />

-2.0<br />

-1.0<br />

0.0<br />

1.0<br />

2.0<br />

1.0<br />

0.0<br />

-1.0<br />

-2.0<br />

-1.0<br />

0.0<br />

1.0<br />

2.0<br />

1.0<br />

0.0<br />

-1.0<br />

-2.0<br />

-1.0<br />

0.0<br />

1.0<br />

2.0<br />

Normalized Thrust N/(E'R)*10 3<br />

for d/R=0.00 and t/R=0.10<br />

2.0<br />

1.0<br />

0.0<br />

-1.0<br />

-2.0<br />

-1.0<br />

0.0<br />

1.0<br />

2.0<br />

Normalized Thrust N/(E'R)*10 3<br />

for d/R=0.05 and t/R=0.10<br />

2.0<br />

1.0<br />

0.0<br />

-1.0<br />

-2.0<br />

-1.0<br />

0.0<br />

1.0<br />

2.0<br />

Normalized Thrust N/(E'R)*10 3<br />

for d/R=0.10 and t/R=0.10<br />

2.0<br />

1.0<br />

0.0<br />

-1.0<br />

-2.0<br />

-1.0<br />

0.0<br />

1.0<br />

2.0<br />

(a) Initial Liner Geometry<br />

(b) Single-Lobe Buckling Mode<br />

Fig. 3. Distribution <strong>of</strong> Thrust in liner with d/R=0.0, 0.05, and 0.1<br />

23


A.M. SWEEDAN, K.M. EL-SAWY<br />

1.0005 between the ellipse axes. This initial elliptical imperfection is used to trigger the onelobe<br />

buckling mode. The Finite Element analysis used accounts for non-linearity effects due to<br />

large change <strong>of</strong> geometry and non-conservative follower pressure load.<br />

A parametric study is conducted to investigate the variation <strong>of</strong> the buckling load, P cr , with the<br />

liner’s geometry (t/R) and (d/R) and material properties E’. The adopted finite element model is a<br />

revised and extended version <strong>of</strong> the one that was used earlier by El-Sawy and Moore [8]. The<br />

extended model predicts the critical buckling pressure and the corresponding thrust, N o , and<br />

bending moment, M o , at the mid-point <strong>of</strong> the detached liner (i.e., the most heavily stressed point<br />

in the liner). This information is essential for conducting more comprehensive <strong>engineering</strong> design<br />

<strong>of</strong> such special structure. It is important to mention that the FE solution is the only consistent<br />

solution among all the previously reviewed ones since it does not assume any approximation<br />

(other than the assumption <strong>of</strong> elastic and smooth thin liner) in modelling the liner behaviour.<br />

5. DISCUSSION OF RESULTS<br />

Figure 3 shows the distribution <strong>of</strong> the normalized thrust, N/E’R, based on the FEM solution for<br />

different (d/R) and (t/R) ratios. In this figure, it can be noticed that the thrust is almost constant<br />

for all values <strong>of</strong> (d/R) and (t/R) except for a very localized rise in the thrust magnitude at the<br />

points where the liner starts to contact, and gets supported on, the rigid host. This increase in the<br />

thrust is noticeable for large values <strong>of</strong> (d/R) where the liner is freer to deform. The maximum rise<br />

in the thrust magnitude is about 23% and occurs for (d/R)=0.1 and (t/R)=0.1. This would show<br />

that the constant thrust along the whole liner is an approximate one, which in general may not<br />

affect the estimation <strong>of</strong> the critical pressure, but may affect the estimations <strong>of</strong> the accompanying<br />

thrusts and bending moments.<br />

Normalized Buckling Pressure (P cr / E') x 10 4<br />

20.0<br />

15.0<br />

10.0<br />

5.0<br />

Tightly Fitted Liner (d / R) = 0.0<br />

FEM<br />

Thepot<br />

Lo and Zhang<br />

Madryas and Szot<br />

0.0<br />

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10<br />

(t / R)<br />

24


CHARACTERIZATION OF ELASTIC BUCKLING OF CYLINDRICAL LINERS USING FINITE ELEMENT APPROACH<br />

Normalized Buckling Pressure (P cr / E') x 10 4<br />

15.0<br />

10.0<br />

5.0<br />

Loosely Fitted Liner (d / R) = 0.05<br />

FEM<br />

Thepot<br />

Lo and Zhang<br />

Madryas and Szot<br />

0.0<br />

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10<br />

(t / R)<br />

Normalized Buckling Pressure (P cr / E') x 10 4<br />

15.0<br />

10.0<br />

5.0<br />

Loosely Fitted Liner (d / R) = 0.10<br />

FEM<br />

Thepot<br />

Madryas and Szot<br />

Lo and Zhang<br />

0.0<br />

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10<br />

(t / R)<br />

Fig. 4. Critical pressure for liner with d/R=0.0, 0.05 and 0.10<br />

Figure 4 shows a comparison between the normalized critical pressure, P cr /E’, based on the<br />

different solutions reviewed earlier (i.e., solutions provided by FEM, Lo and Zhang [3], Thépot<br />

[9] and Madryas and Szot [10]) versus the liner thickness-to-radius ratio (t/R) at different radial<br />

gap ratios (d/R=0.0, 0.05, and 0.10). It is clear from the figure that the buckling pressure<br />

decreases as the gap size increases. This decrease is more pronounced for thin liners where the<br />

flexural stiffness-to-axial stiffness ratio is very small. For this case, flexural deformations<br />

dominate the behavior <strong>of</strong> the liner and the liner depends mainly on the support <strong>of</strong> its rigid host<br />

element. For thick liners, the axial deformations dominate the behavior and the liner elastic<br />

stability depends mainly on the liner axial stiffness. The comparison shows also the following:<br />

The solution <strong>of</strong> Lo and Zhang provides the highest estimate for the buckling pressure<br />

(i.e., non-conservative pressure), which may be due to the inconsistent assumption that the<br />

detached segment <strong>of</strong> the liner behaves similarly to a fixed-ended circular arch. The<br />

maximum difference between Lo and Zhang solution and the results <strong>of</strong> the FEM reaches<br />

about 35% for thin liners.<br />

On the contrary, the solutions <strong>of</strong> Thépot and Madryas and Szot provide the most<br />

conservative estimate for the buckling pressure. However, pressure predictions become<br />

highly over-conservative for liners with bigger gaps (i.e., 10). This is attributed to the<br />

fact that the equations provided by Thépot provide reasonable fitting <strong>of</strong> the finite element<br />

25


A.M. SWEEDAN, K.M. EL-SAWY<br />

results related to gap liners not exceeding a threshold value <strong>of</strong> 10. The difference<br />

between Thépot solution and the obtained finite element results ranges from -24.7% to<br />

+2.7%, where the -24.7% corresponds to (t/R)=0.04 and (d/R)=0.1.<br />

12.0<br />

Tightly Fitted Liner (d / R) = 0.0<br />

Normalized Bending Moment<br />

[M cr / (E' R 2 )] x 10 5<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

FEM<br />

Thepot<br />

0.0<br />

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10<br />

(t / R)<br />

14.0<br />

Loosely Fitted Liner (d / R) = 0.05<br />

Normalized Bending Moment<br />

[M cr / (E' R 2 )] x 10 5<br />

12.0<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

FEM<br />

Thepot<br />

0.0<br />

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10<br />

(t / R)<br />

16.0<br />

Loosely Fitted Liner (d / R) = 0.10<br />

Normalized Bending Moment<br />

[M cr / (E' R 2 )] x 10 5<br />

14.0<br />

12.0<br />

10.0<br />

8.0<br />

6.0<br />

4.0<br />

2.0<br />

FEM<br />

Thepot<br />

0.0<br />

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10<br />

(t / R)<br />

Fig. 6. Bending moment at the point <strong>of</strong> maximum stress in liner with d/R=0.0, 0.05 and 0.1<br />

Figure 5 shows the thrusts associated with the buckling pressure (based on FEM and Thépot<br />

[9]) at the point <strong>of</strong> the maximum stress in the liner. This point corresponds to the mid-point <strong>of</strong><br />

the detached part <strong>of</strong> the liner. One may conclude the following from Figure 5:<br />

26


CHARACTERIZATION OF ELASTIC BUCKLING OF CYLINDRICAL LINERS USING FINITE ELEMENT APPROACH<br />

20.0<br />

Tightly Fitted Liner (d / R) = 0.0<br />

Normalized Thrust [N cr / (E' R)] x 10 4<br />

15.0<br />

10.0<br />

5.0<br />

FEM<br />

Thepot<br />

0.0<br />

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10<br />

(t / R)<br />

15.0<br />

Loosely Fitted Liner (d / R) = 0.05<br />

Normalized Thrust [N cr / (E' R)] x 10 4<br />

12.5<br />

10.0<br />

7.5<br />

5.0<br />

2.5<br />

FEM<br />

Thepot<br />

0.0<br />

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10<br />

(t / R)<br />

12.5<br />

Loosely Fitted Liner (d / R) = 0.10<br />

Normalized Thrust [N cr / (E' R)] x 10 4<br />

10.0<br />

7.5<br />

5.0<br />

2.5<br />

FEM<br />

Thepot<br />

0.0<br />

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10<br />

(t / R)<br />

Fig. 5. Thrust at the point <strong>of</strong> maximum stress in liner with d/R=0.0, 0.05 and 0.10.<br />

<br />

<br />

By inspection, it is clear that the ratio No/(PcrR) is greater than unity in all <strong>of</strong> the<br />

considered solutions, where P cr /E’ is shown in Fig. 4 and N o /(E’R) is shown in Fig. 5.<br />

The figure reveals also a very good agreement bet-ween Teapot’s solution and the finite element<br />

results.<br />

The bending moment associated with the buckling pressure (at the point <strong>of</strong> the maximum<br />

stresses) is shown in Figure 6. In general, the figure shows very good agreement between<br />

Thépot’s solution and the finite element results. For relatively thicker liners, Thépot’s solution<br />

provides more conservative estimates for the bending moment at the point <strong>of</strong> maximum stresses.<br />

27


A.M. SWEEDAN, K.M. EL-SAWY<br />

Figure 7 shows the enhancement factor, K, versus the liner (t/R) for different values for (d/R),<br />

where the enhancement factor is defined according to (3) and can be written as<br />

3<br />

Pcr Pcr<br />

Pcr<br />

1 d<br />

R<br />

<br />

K <br />

4 <br />

3<br />

' 4 '<br />

<br />

2<br />

<br />

(15)<br />

Pcr<br />

E t R E t R t R <br />

o<br />

It is clear that the enhancement in the liner stability is maximized at zero or small values <strong>of</strong><br />

(d/R) and small values <strong>of</strong> (t/R) (i.e. for the case <strong>of</strong> tightly installed thin liners). For thick liners<br />

and large gaps (i.e. (d/R) = 0.07 to 0.10), the liner enhancement becomes almost constant.<br />

50<br />

Tightly Fitted Liner (d / R) = 0.0<br />

Enhancement Factor K<br />

40<br />

30<br />

20<br />

10<br />

FEM<br />

Thepot<br />

Lo and Zhang<br />

Madryas and Szot<br />

0<br />

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10<br />

(t / R)<br />

7<br />

Loosely Fitted Liner (d / R) = 0.05<br />

6<br />

Enhancement Factor K<br />

5<br />

4<br />

3<br />

2<br />

1<br />

FEM<br />

Thepot<br />

Lo and Zhang<br />

Madryas and Szot<br />

0<br />

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10<br />

(t / R)<br />

5<br />

Loosely Fitted Liner (d / R) = 0.10<br />

4<br />

Enhancement Factor K<br />

3<br />

2<br />

1<br />

FEM<br />

Thepot<br />

Lo and Zhang<br />

Madryas and Szot<br />

0<br />

0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10<br />

(t / R)<br />

Fig. 7. Enhancement factor for liner with d/R=0.0, 0.05 and 0.10<br />

28


CHARACTERIZATION OF ELASTIC BUCKLING OF CYLINDRICAL LINERS USING FINITE ELEMENT APPROACH<br />

In view <strong>of</strong> Fig. 7, it can be shown that for the cases <strong>of</strong> thin liners with large gaps (i.e., small<br />

(t/R) and (d/R)=0.05 and 0.10):<br />

Solution <strong>of</strong> Lo and Zhang is the most non-conservative solution and may lead to unsafe<br />

estimation <strong>of</strong> K.<br />

On the other hand, the solution <strong>of</strong> Madryas and Szot, although based on Finite Element<br />

Analysis, provides the most conservative K, especially at small (t/R) values,<br />

Thépot’s solution is also in a very close agreement to the finite element analysis results.<br />

5. CONCLUSION<br />

The finite element method is used to study elastic stability <strong>of</strong> liners subjected to uniform<br />

pressure. The adopted model accounts for the non-linearity effects <strong>of</strong> large deformations and<br />

geometric imperfections on the stability <strong>of</strong> analyzed liners. Results <strong>of</strong> finite element analysis are<br />

used to identify the critical buckling pressure and the associated maximum thrust and moment.<br />

A critical review is also conducted to evaluate the available methods for estimating the elastic<br />

critical pressure <strong>of</strong> slender liners. Comparison is held between finite element results and<br />

predictions that are based on such methods from which the following conclusions may be drawn:<br />

Liner’s buckling pressure decreases as the gap size increases. This decrease is more<br />

pronounced for thin liners where the flexural stiffness-to-axial stiffness ratio is very small and<br />

the behaviour is controlled by flexural deformations <strong>of</strong> the liner.<br />

On the contrary, for thick liners, the axial deformations dominate the behavior and the liner<br />

elastic stability depends mainly on its axial stiffness.<br />

The solution proposed by Lo and Zhang provides non-conservative prediction <strong>of</strong> the critical<br />

pressures especially for small values <strong>of</strong> (d/R). On the contrary, the solution <strong>of</strong> Thépot<br />

provides more conservative estimate for the buckling pressure. However, pressure predictions<br />

become highly over-conservative for liners with bigger gaps (i.e., 10).<br />

Thepot’s method is shown to be in very good agreement with obtained finite element results<br />

and provides more conservative estimates for the thrust induced in liners with small gaps (i.e.,<br />

10 ).<br />

For thin liners with large gaps the solution <strong>of</strong> Lo and Zhang is the most non-conservative<br />

solution and may lead to unsafe estimation <strong>of</strong> the enhancement factor K. Meanwhile, the<br />

solution <strong>of</strong> Madryas and Szot, although based on Finite Element Analysis, provides the most<br />

conservative K, especially at small (t/R) values.<br />

6. ACKNOWLEDGMENT<br />

Support <strong>of</strong> this research was provided through research grants No. 03-7-11/99 and 02-7-11/00<br />

from the Research Council <strong>of</strong> the United Arab Emirates University.<br />

29


A.M. SWEEDAN, K.M. EL-SAWY<br />

7. REFERENCES<br />

[1.] Aggarwal, S. C., and Cooper, M. J. (1984). “External pressure testing <strong>of</strong> Insituform lining.”<br />

Internal Rep., Coventry (Lanchester) Polytechnic, Coventry, U.K.<br />

[2.] Kyriakides S., Babcock C. D. (1983). Buckle propagation phenomena in pipelines collapse:<br />

the buckling <strong>of</strong> structures in theory and practice, Proc. IUTAM Symp. on Collapse, London,<br />

Aug. 1982 (edited by J. M. T. Thomson and G. W. Hunt), Cambridge University Press,<br />

75-91.<br />

[3.] Lo, K. H. and Zhang, J. Q. (1994). “Collapse resistance modelling <strong>of</strong> encased pipes.” Buried<br />

Plastic Pipe Technology, vol. 2, ASTM STP1222, Dave Eckstein, Ed., American Society for<br />

Testing and Materials, Philadelphia, Pa., 97-110.<br />

[4.] Guice L. K., Straughan T., Norris C. R., Bennet R. D. (1994). Long-term structural behavior<br />

<strong>of</strong> pipeline rehabilitation systems, Louisiana Technical University, Trenchless Technology<br />

Center, Technical Report #302.<br />

[5.] Bakeer, R. M., Barber, M. E., Pechon, S. E., Taylor, J. E., and Chunduru, S. (1999).<br />

“Buckling <strong>of</strong> HDPE liners under external uniform pressure.” J. Mat. in Civ. Engrg., ASCE,<br />

11(4), 353-361.<br />

[6.] Levy, M. (1884). “Me’memoire sur un nouveau cas inte’grable du proble’m de l’elastique et<br />

l’une de ses applications.” English translation is “Memoir on a new integrable case <strong>of</strong> the<br />

problem <strong>of</strong> elasticity and one <strong>of</strong> its applications.” J. Math. Pure et Appl., Lioville, France,<br />

Series 3, Vol. 10, 5-42.<br />

[7.] Jacobsen, S. (1974). “Buckling <strong>of</strong> circular rings and cylindrical tubes under external<br />

pressure.” Water Power, 26 (Dec.), 400-407.<br />

[8.] El-Sawy, K., Moore, I. D. (1998). “Stability <strong>of</strong> liners used to rehabilitate rigid pipes.” J.<br />

Struct. Engrg., ASCE, 124(11), 1350-1358.<br />

[9.] Thepot, O. (2000). “A new design method for non-circular sewer lining.” Trenchless<br />

Technology Res., Vol. 15, No. 1, 25-41.<br />

[10.] C. Madryas, A. Szot (2003). Structural sensitivity <strong>of</strong> circular sewer liners to geometrical<br />

imperfections, Tunnelling and Underground Space Technology, 18, 421–434.<br />

[11.] Glock, D., 1977. U¨berkritisches verhalten eines starr ummantelten kreisrohres bei<br />

wasserdruck von aussen und temperaturerho¨hung [English translation: Post-critical<br />

behaviour <strong>of</strong> a rigidly encased circular pipe subject to external water pressure and<br />

temperature rise]. Der Stahlbau 46 (7), 212–217.<br />

30


AHU J. <strong>of</strong> Engineering & Applied Sciences 3 (1) : 31-49 (2010)<br />

© 2009 ALHOSN University<br />

OPTIMIZED 3D MESH FOR THE FINITE ELEMENT ANALYSIS<br />

OF LAMINATED COMPOSITE PLATE WITH CENTRAL HOLE<br />

*<br />

Khaled M. El-Sawy, 1 Abdul Hameed Arwani 2<br />

1 Civil & Environmental Engineering Department, Faculty <strong>of</strong> Engineering, United Arab Emirates University,<br />

P.O. Box: 17755, Al Ain, UAE<br />

2 Principal Engineer, Parsons, Abu Dhabi, UAE<br />

ABSTRACT: The stress field around a hole in a laminated composite plate under uni-axial tension exhibits a<br />

very complex pattern. Usually, the Finite Element Method (FEM) is used to calculate such stress field. The<br />

accuracy <strong>of</strong> the Finite Element (FE) analysis depends mainly on the appropriateness <strong>of</strong> the mesh used in the<br />

analysis. Adaptive meshing is one <strong>of</strong> the good options to search for that optimum mesh. Unfortunately, the<br />

adaptive meshing technique involves iterative solutions <strong>of</strong> the problem with gradual refining <strong>of</strong> an initial coarse<br />

mesh until an optimum mesh (that satisfies the requested user tolerances) is reached. These iterative solutions<br />

may add an extra cost to the analysis if the initial mesh is very coarse. In addition to this, some problems still<br />

exist with the error estimation used in the adaptive meshing technique especially when analyzing a problem with<br />

multiple materials (which is the case for laminated composite plates). This initiated a parametric study that tries<br />

to find some guidelines for the choice <strong>of</strong> the optimum mesh without the need to do costly adaptive meshing.<br />

The sub-modeling method has been used to increase the accuracy <strong>of</strong> the solution around the hole (zones <strong>of</strong> high<br />

stress concentrations). Different parameters that control the shape <strong>of</strong> the sub-model mesh have been studied and<br />

recommendations for their optimum values are reported. These parameters are used later in the analysis <strong>of</strong> a<br />

laminated plate with real sequence <strong>of</strong> plies and the problem size and run-time is proved to be affordable with<br />

current PC configurations.<br />

Key words: Finite Element Method, Laminated Composite Plate, Perforated Plate<br />

1. INTRODUCTION<br />

Bolts and rivets are usually necessary components <strong>of</strong> some structural joints. Despite careful<br />

design, practically every structure contains stress concentrations due to bolt or rivet holes. In the<br />

case <strong>of</strong> laminated structures, the presence <strong>of</strong> a hole in the laminate introduces significant stress<br />

contributions in the third dimension, which creates a very complicated three-dimensional (3D)<br />

stress field in the vicinity <strong>of</strong> the hole. This complex state <strong>of</strong> stresses depends on the stacking<br />

sequence <strong>of</strong> the laminate, the fiber orientation <strong>of</strong> each lamina (or ply) as well as the material<br />

properties <strong>of</strong> the fiber and the matrix [1, 5]. Ultimately, these stress concentrations form a primary<br />

source <strong>of</strong> damage initiation especially in the form <strong>of</strong> delamination.<br />

Delamination along the interface <strong>of</strong> two adjacent laminas has long been recognized as one<br />

<strong>of</strong> the most important failure modes in laminated composite structures. The growth <strong>of</strong><br />

delamination may result in a substantial reduction <strong>of</strong> strength and stiffness <strong>of</strong> the laminate. A<br />

primary requirement for the study <strong>of</strong> delamination in composite plates is to identify clearly<br />

the stress field in the regions where delamination is most likely to happen.<br />

Over the past century, many investigators have considered the problem <strong>of</strong> having a circular<br />

hole in a composite plate where delamination happens in the vicinity <strong>of</strong> the hole. Since the<br />

complex stress field around the hole is <strong>of</strong> great interest to correctly recognize delamination,<br />

many researchers have considered several methods <strong>of</strong> determining the stresses in an axially<br />

loaded rectangular plate with a centrally located circular hole [1-9]. Experimental studies<br />

have shown that the interlaminar stresses at a free-edge, such as in the case <strong>of</strong> a hole, can<br />

produce delamination under cyclic loading [1.]. Solution <strong>of</strong> such a problem (e.g. a uni-axially<br />

loaded rectangular plate with centrally located circular hole) could be analytical or numerical.<br />

______________________________________<br />

* Corresponding Author. Tel.: +971-3-7133516<br />

E-mail : k.elsawy@uaeu.ac.ae<br />

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KHALED M. EL-SAWY, ABDUL HAMEED ARWANI<br />

Analytical or closed-form solutions are quite few in number [2.]. Alternately, much<br />

advancement has occurred in using numerical solutions especially the use <strong>of</strong> Finite Element<br />

Method (FEM). The presences <strong>of</strong> complex three-dimensional (3D) stress field in the vicinity<br />

<strong>of</strong> the hole and the complex structural geometry have turned researchers to the use <strong>of</strong> FEM in<br />

the last two decades. Two dimensional (2D) solutions are available in the literature [3.] and<br />

provide some insight into the stress field in the neighborhood <strong>of</strong> the hole edge. Several<br />

authors have recognized the importance <strong>of</strong> 3D analysis in dealing with such problems. Since<br />

3D analysis is not cheap and needs more resources (time and computer hardware), several<br />

researchers have tried to use hybrid methods, for example, the combination <strong>of</strong> the 2D<br />

Classical Laminated Theory (CLT) with 3D FEM [4.] or the combination <strong>of</strong> 2D and 3D FEM<br />

[5.]. Treating the problem in full 3D analysis had encountered difficulties in the past due to<br />

complexity <strong>of</strong> the problem and lack <strong>of</strong> computer memory. For this reason the concept <strong>of</strong><br />

finding a FE strategy for the 3D analysis that optimizes the solution and reduces the huge<br />

amount <strong>of</strong> resources required have been emphasized. Experience tells us that far away from<br />

the hole, stresses are relatively smaller and their rates <strong>of</strong> changing with distance (stress<br />

gradients) are small. However, in the vicinity <strong>of</strong> the hole, the stresses are relatively higher and<br />

their gradients are very high. Generally, the FE mesh should be fine at stress concentration<br />

regions and coarse far from these regions.<br />

Recently, various approaches <strong>of</strong> optimizing 3D FE analysis <strong>of</strong> composite plates having<br />

circular holes have been considered. Adaptive refinement is one <strong>of</strong> these approaches [6.].<br />

Although adaptive meshing technique is a good candidate, unfortunately the error estimation<br />

due to multiple materials still needs further investigation and verification. Problems with the<br />

error estimation happen most likely at material interfaces (i.e. at laminas interfaces), which<br />

are the regions <strong>of</strong> interest. In addition, adaptive meshing is not cheap since it involves<br />

iterative process <strong>of</strong> error estimation, refinement, and mesh regeneration. The adaptive<br />

meshing process usually terminates based on some tolerances, set initially by the analyst, to<br />

ensure that the solution has converged to the required accuracy.<br />

In this study we introduce a FE strategy that optimizes the modeling and analysis <strong>of</strong><br />

laminated composite plates with centrally located circular holes. The strategy is based on<br />

detailed parametric analysis conducted to study the effect <strong>of</strong> different mesh parameters on the<br />

desired results. The final outcome is some recommendations for the optimum mesh<br />

parameters to be used. The conducted parametric analysis is expected to help in putting<br />

guidelines for FE modeling <strong>of</strong> composite plates with holes and in reducing the costly<br />

modeling by reducing solution time. Moreover, when used with adaptive procedure it could<br />

help in reaching convergence faster. The following sections discuss the briefly the different<br />

aspects <strong>of</strong> the FE technique and the detailed parametric study.<br />

2. SUB-MODELING TECHNIQUE<br />

To get accurate stress estimations, it is a common practice to use finer element sizes in<br />

regions <strong>of</strong> the FE model that exhibits high stress concentration and allow for larger element<br />

sizes away from these regions. For the case <strong>of</strong> laminated composite plate, this implies using a<br />

very fine mesh around the hole while allowing larger element sizes away from the hole. The<br />

use <strong>of</strong> a fine mesh around the hole would add more cost to the 3D analysis <strong>of</strong> the laminated<br />

composite plate. A cheaper method <strong>of</strong> achieving the same goal (i.e., accurate results around<br />

the hole) is the use <strong>of</strong> the sub-modeling technique.<br />

The sub-modeling technique provides the solution and stress estimations in two stages. The<br />

32


OPTIMIZED 3D MESH FOR THE FINITE ELEMENT ANALYSIS OF LAMINATED COMPOSITE PLATE WITH CENTRAL HOLE<br />

first stage is to use a model with a coarse mesh (termed as global model, Fig. 1a) sufficient to<br />

get accurate stresses away from the hole (i.e. away from the localized zone <strong>of</strong> high stress<br />

concentration). The second stage uses a model with a very fine mesh (termed as sub-model,<br />

Fig. 1b) for the zone around the hole (i.e., zone <strong>of</strong> interest) and then get interpolated values<br />

for the displacements and rotations from the previously solved global model and prescribe<br />

them as displacement and rotation loads in the fine sub-model. Figure 1 shows the concept <strong>of</strong><br />

sub-modeling.<br />

(1a) Global coarse Model with Superimposed High Stress Regions<br />

Sub-models<br />

(1b) Fine sub-models superimposed in the coarse model<br />

Fig 1. Models Used in the Finite Element Sub-modeling Technique<br />

1 Spacing ratio is defined as the ratio <strong>of</strong> the size <strong>of</strong> first element to the size <strong>of</strong> the last element i.e. if the spacing ratio was 14 in certain<br />

direction, then the ratio <strong>of</strong> the first element length in that direction to the last element length in the same direction is 14.<br />

33


KHALED M. EL-SAWY, ABDUL HAMEED ARWANI<br />

r<br />

<br />

2a<br />

2W<br />

2L<br />

Fig 2. Problem geometry<br />

3. PROBLEM DEFINITION AND THE FINITE ELEMENT MODEL<br />

Figure 2 shows a laminated composite plate having a central circular hole and being axially<br />

loaded at both ends. The plate is composed <strong>of</strong> four plies with symmetrical stacking sequence<br />

(typically 0/30/30/0, 0/45/45/0, 0/60/60/0 or 0/90/90/0). The material <strong>of</strong> each ply is assumed<br />

to be homogenous, linear elastic, and orthotropic. The direction <strong>of</strong> orthotropy coincides with<br />

the direction <strong>of</strong> the fibers (i.e. the material is stiff in the direction <strong>of</strong> fibers and less stiff in the<br />

other perpendicular directions). Geometry is defined by the plate length L, plate width W,<br />

radius <strong>of</strong> the central hole, a, and the thickness <strong>of</strong> each ply, h (i.e. total plate thickness is 4h).<br />

The mesh parameters are defined as follows:<br />

N z is the number <strong>of</strong> elements through the thickness <strong>of</strong> each ply,<br />

R z is the spacing ratio 1 <strong>of</strong> elements through the thickness <strong>of</strong> each ply,<br />

N is the number <strong>of</strong> elements around the edge <strong>of</strong> the hole and no spacing ratio is used in this<br />

direction,<br />

N r is the number <strong>of</strong> elements extending radially out from the edged <strong>of</strong> the hole edge to the<br />

end <strong>of</strong> the sub-model, and<br />

is the spacing ratio <strong>of</strong> the elements in the radial direction.<br />

R r<br />

The ratio <strong>of</strong> the radius <strong>of</strong> the hole to the ply thickness, a/h, has been taken to be 4, 20, and<br />

100 to examine three schemes <strong>of</strong> composite plates; thick, medium, and thin plates.<br />

L = 12a<br />

Uniform displacement<br />

Ux = 0.0125h<br />

W = 6a<br />

N r , R r<br />

N <br />

N z , R z<br />

Sub-model<br />

2h<br />

Material Properties<br />

Ex=139.0 GPa Gxy=5.52 GPa xy=0.3<br />

a S=6h Ey=10.43 GPa Gxz=5.52 GPa xz=0.3<br />

Ez=10.43 GPa Gyz=3.31 GPa yz=0.55<br />

Fig 3. Finite Element model<br />

34


OPTIMIZED 3D MESH FOR THE FINITE ELEMENT ANALYSIS OF LAMINATED COMPOSITE PLATE WITH CENTRAL HOLE<br />

Because <strong>of</strong> the symmetry <strong>of</strong> the problem with respect to x, y, and z directions, only oneeighth<br />

<strong>of</strong> the laminate is analyzed. Figure 3 shows the finite element model, prescribed<br />

displacement boundary conditions, mesh variables, and the orthotropic material properties. It<br />

has been shown by [4.] that the plate dimensions L and W are essentially infinite with respect<br />

to the diameter <strong>of</strong> the hole and that the far-field stresses are reached within a distance <strong>of</strong> 6<br />

times the ply thickness (i.e. 6h) away form the hole edge. Thus a region <strong>of</strong> radial distance <strong>of</strong><br />

at least S=6h (measured from the edge <strong>of</strong> the hole) has been considered as the sub-model<br />

where more refinement has been done to depict the complex stress field.<br />

High order isoparametric 20-noded brick elements were utilized in the analysis. These<br />

elements are more tolerant <strong>of</strong> curved boundaries than standard 8-node brick elements and<br />

avoid “locking” due to high aspect ratios.<br />

Figure 3 shows the mesh parameters. The default values for these parameters are as follows<br />

unless otherwise noted: N z =6, R z =14, N r =10, R r =40, and N =30.<br />

4. VERIFICATION FOR THE SUB-MODEL METHOD<br />

It is essential to check the accuracy <strong>of</strong> the FE analysis using the sub-modeling technique<br />

before using it in performing the parametric analysis. This would ensure that stresses are not<br />

affected by the location <strong>of</strong> the sub-model boundaries.<br />

Two FE models, for the problem geometry shown in Fig. 3 with a/h=20, were used for<br />

comparison purposes (Fig. 4). The first one, MODEL-1, has a very fine mesh over the entire<br />

model while the second, MODEL-2, has used the sub-modeling technique which involves the<br />

use <strong>of</strong> two meshes for the global model and the sub-model. The mesh for the zone <strong>of</strong> interest<br />

in MODEL-1 (i.e. in the neighborhood <strong>of</strong> the hole defined by dimension S in Fig. 3) matches<br />

exactly the mesh <strong>of</strong> the sub-model <strong>of</strong> MODEL-2 and has been based on the parameters N z =6,<br />

R z =14, N r =10, R r =40, and N =30. Figure 4 shows the different meshes used for both models.<br />

(4a) Mesh for MODEL-1<br />

(4b) Mesh for MODEL-2<br />

35


KHALED M. EL-SAWY, ABDUL HAMEED ARWANI<br />

(4c) Mesh for sub-model <strong>of</strong> MODEL-2<br />

Fig 4. Finite Element models to test the reliability <strong>of</strong> sub-modeling technique<br />

Since the interlaminar stresses, which are most likely, the source <strong>of</strong> delamination, are very<br />

sensitive to the shape <strong>of</strong> the mesh, a comparison between the stresses resulting from the two<br />

models would indicate how accurate MODEL-2 relative to MODEL-1 is. From comparison,<br />

it is noticed that results from MODEL-2 show excellent agreement with the ones <strong>of</strong> MODEL-<br />

1 with reduction in solution time up to 80%. Figures 5a through 5c show the comparison<br />

between the results for MODEL-1 and MODEL-2. Interlaminar stresses are shown along<br />

paths extend radially form the edge <strong>of</strong> the hole at 0, 45, and 90 degrees where the 0-degree<br />

path coincides with the x-axis and the 90-degree path coincides with the y-axis. All results are<br />

normalized against the far field stress, avg , due to <strong>applied</strong> displacement ( avg = 74.1 MPa).<br />

It is also essential to verify that the chosen boundaries for the sub-model are far enough<br />

from the stress concentrations around the hole (i.e. distance S is sufficient). We can do this by<br />

comparing stresses along the cut boundaries with those along the corresponding locations on<br />

the global model mesh <strong>of</strong> MODEL-2. If the results are in good agreement, this indicates that<br />

proper boundaries have been chosen. Figure 6 shows excellent agreement between x and y<br />

stresses in the sub-model and the corresponding stresses in the coarse model. Stresses are<br />

compared at the material interface between the two plies.<br />

DESCRIPTION OF THE PARAMETRIC ANALYSIS<br />

A parametric study for the problem (shown in Fig. 3) is performed to identify the optimum<br />

values for the parameters defining the FE mesh <strong>of</strong> the sub-model (i.e. N z , R z , N r , R r , and N ).<br />

The problem geometry is defined by the plate length L, width W, radius <strong>of</strong> the central hole, a,<br />

and the ply thickness, h. The default values for the mesh parameters are N z =6, R z =14, N r =10,<br />

R r =40, and N =30 (unless otherwise noted).<br />

To verify that the FE results (for any mesh parameters) have reached the required accuracy,<br />

there should be a measure for that. The rate <strong>of</strong> change <strong>of</strong> the maximum interlaminar stress<br />

(i.e. the maximum <strong>of</strong> rz , zz , or z at the circular boundary <strong>of</strong> the hole) with any mesh<br />

parameter is selected to estimate the accuracy <strong>of</strong> the results <strong>of</strong> any mesh. The maximum<br />

interlaminar stress has be chosen for this purpose since it is, generally, responsible for the<br />

delamination happening in most <strong>of</strong> the laminates composite plates and since other stresses are<br />

small and change abruptly, which consequently leads to fluctuation in the measurements <strong>of</strong><br />

the rate <strong>of</strong> change <strong>of</strong> the stress between any two consecutive runs.<br />

Figure 7 shows different interlaminar stress components along the boundary <strong>of</strong> the hole for<br />

different stacking sequences. The maximum interlaminar stress is found to be the component<br />

36


OPTIMIZED 3D MESH FOR THE FINITE ELEMENT ANALYSIS OF LAMINATED COMPOSITE PLATE WITH CENTRAL HOLE<br />

<strong>of</strong> the stress z along the boundary <strong>of</strong> the hole and between =70 o and =80 o , where is<br />

measured from the x-axis counterclockwise. The previous observation is valid for all the<br />

examined stacking sequences and hole sizes.<br />

0.06<br />

zz / avg<br />

0.04<br />

0.02<br />

0.00<br />

0-degree (MODEL-1)<br />

45-degree (MODEL-1)<br />

90-degree (MODEL-1)<br />

0-degree (MODEL-2)<br />

45-degree (MODEL-2)<br />

90-degree (MODEL-2)<br />

-0.02<br />

-0.04<br />

0 1 2 3 4 5<br />

(r-a)/h<br />

(5a) Stress zz (Comparison between MODEL-1 and MODEL-2)<br />

0.4<br />

0.3<br />

45-degree (MODEL-1)<br />

45-degree (MODEL-2)<br />

z / avg<br />

0.2<br />

0.1<br />

0.0<br />

0 1 2 3 4 5<br />

(r-a)/h<br />

(5b) Stress z (Comparison between MODEL-1 and MODEL-2)<br />

0.06<br />

0.04<br />

0.02<br />

rz / avg<br />

0.00<br />

-0.02<br />

-0.04<br />

-0.06<br />

0-degree (MODEL-1)<br />

45-degree (MODEL-1)<br />

90-degree (MODEL-1)<br />

0-degree (MODEL-2)<br />

45-degree (MODEL-2)<br />

90-degree (MODEL-2)<br />

-0.08<br />

0 1 2 3 4 5 6<br />

(r-a)/h<br />

(5c) Stress rz (Comparison between MODEL-1 and MODEL-2)<br />

Fig 5. Comparisons between MODEL-1 and MODEL-2<br />

37


KHALED M. EL-SAWY, ABDUL HAMEED ARWANI<br />

2.0<br />

1.5<br />

Normalized Stress<br />

1.0<br />

0.5<br />

x - MODEL-1<br />

y - MODEL-1<br />

x - MODEl-2<br />

y - MODEL-2<br />

0.0<br />

-0.5<br />

0.0 0.5 1.0 1.5 2.0 2.5 3.0<br />

(6a) (Distance Along the Cut-Boundary) / a<br />

Fig 6: Comparisons between Stresses in MODEL-1 and MODEL-2 at the Boundaries<br />

/ avg<br />

2.0<br />

1.8<br />

1.6<br />

1.4<br />

1.2<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

-0.2<br />

-0.4<br />

z [0/90]<br />

z [0/60]<br />

z [0/45]<br />

z [0/30]<br />

zz<br />

[0/90]<br />

zz<br />

[0/60]<br />

zz<br />

[0/45]<br />

zz<br />

[0/30]<br />

rz<br />

[0/90]<br />

rz<br />

[0/60]<br />

rz<br />

[0/45]<br />

rz<br />

[0/30]<br />

a/h=20, N z<br />

=8, R z<br />

=14, N r<br />

=10, R r<br />

=40, and N =30<br />

-0.6<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Fig 7. Interlaminar stresses along the hole boundary for different stacking sequences<br />

Figure 8 shows z , the maximum stress, for different plate thickness (thick with a/h=4,<br />

medium with a/h=10, and thin with a/h=100) with [0/90/90/0] stacking sequence. It is worth<br />

mentioning that maximum stress appears to be more sensitive to the change in the a/h ratio<br />

than the change in the stacking sequence. Later in this study, we will find that increasing the<br />

number <strong>of</strong> elements through the thickness N z from 8 to 12 for the case <strong>of</strong> a/h=4 will improve<br />

the accuracy <strong>of</strong> the results to reach the same accuracy for the cases <strong>of</strong> a/h=20 and 100.<br />

The parametric analysis is performed by varying one mesh parameter at a time while fixing<br />

all the others. Comparison between the maximum interlaminar stress z <strong>of</strong> any two<br />

consecutive solutions (i.e. consecutive meshes based on the considered mesh parameter)<br />

provided a good measure <strong>of</strong> accuracy <strong>of</strong> the mesh. The FE solution is assumed to converge to<br />

the accurate value whenever the difference in the maximum interlaminar stress (i.e. z at <br />

angle between =70 o and =80 o ) between any two consecutive computer runs becomes less<br />

than 1.0%, and the value <strong>of</strong> the parameter at the last run is taken as the optimum value for this<br />

case. At this stage, further refinement <strong>of</strong> the mesh would enhance the results by less than<br />

1.0%, which is not economical compared to the cost <strong>of</strong> the solution time <strong>of</strong> the refined mesh.<br />

38


OPTIMIZED 3D MESH FOR THE FINITE ELEMENT ANALYSIS OF LAMINATED COMPOSITE PLATE WITH CENTRAL HOLE<br />

1.4<br />

1.2<br />

[0/90], N z =8, R z =14, N r =10, R r =40, and N =30<br />

1.0<br />

0.8<br />

z<br />

/ avg<br />

0.6<br />

0.4<br />

0.2<br />

0.0<br />

-0.2<br />

-0.4<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

a/h=100<br />

a/h=4<br />

a/h=20<br />

Fig 8. Stress z along the hole boundary for different hole sizes<br />

6. RESULTS OF THE FE PAREMETRIC ANALYSIS<br />

In the parametric analysis each mesh parameter was examined alone while fixing other parameters<br />

at their default values until convergence is obtained. The following sections report the effect <strong>of</strong><br />

changing these parameters on the accuracy <strong>of</strong> the solution. All the forthcoming results (reported<br />

in figures 9-21) show the variation <strong>of</strong> the %difference between the interlaminar stress z at the<br />

hole boundary <strong>of</strong> any two successive meshes with the angle (at which the difference in stress is<br />

calculated). The shaded areas shown in Figs. 9-21 correspond to the location <strong>of</strong> the maximum<br />

interlaminar stress z (i.e. at between 70 o and 80 o ).<br />

Symbols shown in the figure legend refer to the varying mesh parameter and its value for<br />

the two successive meshes. For example, in Fig. 9 the varying mesh parameter is N z and the<br />

figure shows two cases; difference in z between meshes with N z =6 and N z =7, and difference<br />

in z between meshes with N z =7 and N z =8. One may notice that the symbols for the<br />

difference between any two successive runs show a discontinuity at =20º-30º (+ to -<br />

discontinuity). This is because values <strong>of</strong> the stress z at these locations are very small and<br />

approach zeros (Fig. 8) and therefore any slight stress difference will represent a huge<br />

%difference.<br />

A. Analysis <strong>of</strong> Parameters N z and R z<br />

Since we are concerned with the interlaminar stresses, N z and R z are expected to be the most<br />

important parameters since they are participating considerably in controlling the element size<br />

at the material interface. The parametric analysis started with initial values <strong>of</strong> N z and R z as 6<br />

and 14, respectively. The analysis has been performed for different stacking sequences and<br />

different plate thickness (i.e. different a/h ratios). Figures 9-15 show the results <strong>of</strong> such<br />

parametric analysis for N z and R z .<br />

It is clear from Figs. 9-12 for the case <strong>of</strong> R z =14, N r =10, R r =40, N =30, S=6h and different<br />

stacking sequences, that N z converges (i.e. produce %difference less than 1%) at number <strong>of</strong><br />

elements N z between 8 and 10. We can notice also that for thick plates (i.e. a/h=4) more<br />

elements are needed through the ply thickness while for thin plates (i.e. a/h=100) fewer<br />

elements are needed. This conclusion is general because it is observed that the interlaminar<br />

stresses increase in the neighborhood <strong>of</strong> the hole (i.e. more stress concentration) as a/h ratio<br />

decreases, which agrees with Choi and Folias 1994. In general we could conclude that for<br />

thick plates (i.e. a/h=4) N z =10 could be enough, for medium ones (i.e. a/h=20) N z =8 is<br />

39


KHALED M. EL-SAWY, ABDUL HAMEED ARWANI<br />

enough, and for thin ones (i.e. a/h=100) less number could be reliable (N z =6).<br />

For R z parameter it is noticed that changing this parameter does not affect the results<br />

significantly (Fig. 15). In addition, it does not affect the solution time and cost since the<br />

number <strong>of</strong> DOFs does not change. Therefore, this parameter could take any reasonable value<br />

between 12 and 16.<br />

%Difference between two consecutive runs<br />

3.0<br />

2.5<br />

2.0<br />

1.5<br />

1.0<br />

0.5<br />

[0/90] s<br />

& a/h=20<br />

R z<br />

=14, N r<br />

=10, R r<br />

=40<br />

N <br />

=30, S=6h<br />

Nz=7 & Nz=6<br />

Nz=8 & Nz=7<br />

0.0<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Fig 9. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N z parameter<br />

%Difference between two consecutive runs<br />

2.0<br />

1.5<br />

1.0<br />

0.5<br />

[0/45] s<br />

& a/h=20<br />

R z<br />

=14, N r<br />

=10, R r<br />

=40<br />

N <br />

=30, S=6h<br />

Nz=10 & Nz=9<br />

Nz=9 & Nz=8<br />

Nz=8 & Nz=7<br />

Nz=7 & Nz=6<br />

0.0<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Fig 10. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N z parameter<br />

40


OPTIMIZED 3D MESH FOR THE FINITE ELEMENT ANALYSIS OF LAMINATED COMPOSITE PLATE WITH CENTRAL HOLE<br />

%Difference between two consecutive runs<br />

2.5<br />

2.0<br />

1.5<br />

1.0<br />

[0/30] s & a/h=20<br />

R z =14, N r =10, R r =40<br />

N =30, S=6h<br />

0.5<br />

Nz=10 & Nz=9<br />

Nz=9 & Nz=8<br />

Nz=8 & Nz=7<br />

Nz=7 & Nz=6<br />

0.0<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Fig 11. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N z parameter<br />

%Difference between two consecutive runs<br />

2.5<br />

2.0<br />

1.5<br />

1.0<br />

[0/60] s & a/h=20<br />

R z =14, N r =10, R r =40<br />

N =30, S=6h<br />

0.5<br />

Nz=10 & Nz=9<br />

Nz=9 & Nz=8<br />

Nz=8 & Nz=7<br />

Nz=7 & Nz=6<br />

0.0<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Fig 12. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N z parameter<br />

Error between two consecutive runs<br />

4.0<br />

3.5<br />

3.0<br />

2.5<br />

2.0<br />

1.5<br />

1.0<br />

0.5<br />

[0/90] s & a/h=4<br />

R z =14, N r =10, R r =40<br />

N =30, S=6h<br />

Nz=10 & Nz=9<br />

Nz=9 & Nz=8<br />

Nz=8 & Nz=7<br />

Nz=7 & Nz=6<br />

0.0<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Fig 13. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N z parameter<br />

41


KHALED M. EL-SAWY, ABDUL HAMEED ARWANI<br />

%Difference between two consecutive runs<br />

2.0<br />

1.5<br />

1.0<br />

0.5<br />

[0/90] s & a/h=100<br />

R z =14, N r =10, R r =40<br />

N =30, S=6h<br />

Nz=8 & Nz=7<br />

Nz=7 & Nz=6<br />

0.0<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Fig 14. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N z parameter<br />

%Difference between two consecutive runs<br />

1.5<br />

1.0<br />

0.5<br />

[0/90] s & a/h=20<br />

N z =8, N r =10, R r =40<br />

N =30, S=6h<br />

Rz=14 & Rz=12<br />

Rz=16 & Rz=14<br />

0.0<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Fig 15. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N z parameter<br />

B. Analysis <strong>of</strong> Parameters N r and R r<br />

Based on the discussion in the previous section, N z is kept at value <strong>of</strong> 8 while R z is kept at 14<br />

for all the forthcoming analyses. The effect <strong>of</strong> N r on the results was examined by assuming<br />

different values for N r between 10 and 13 (Figs. 16-20). It is found that increasing N r would<br />

enhance the results for all the considered stacking sequences and a/h ratios. This is because N r<br />

participates significantly in the element size (in the plane <strong>of</strong> the plate) at the hole<br />

neighborhood, which is a major factor affecting the accuracy <strong>of</strong> the results. In general we can<br />

state that for thin and thick plies (a/h=100 and a/h=4) high number <strong>of</strong> elements and high N r<br />

are required for convergence, while for moderately thick ones (a/h=20) fewer element and<br />

low N r are needed. As an example, for a/h ratio equals 20, N r could be taken as 13 (Fig. 16),<br />

while for a/h=4, N r equals 14 or 15 could be reasonable (Figs. 17 and 18).<br />

The effect <strong>of</strong> the stacking sequence on Nr is shown in Figs. 16,19, and 20. The figures show<br />

that the less the difference between the orientations (e.g. 0/45) <strong>of</strong> the two plies the less the value<br />

<strong>of</strong> N r .<br />

______________________________________<br />

* Corresponding Author. Tel.: +971-3-7133516<br />

E-mail : k.elsawy@uaeu.ac.ae<br />

42


OPTIMIZED 3D MESH FOR THE FINITE ELEMENT ANALYSIS OF LAMINATED COMPOSITE PLATE WITH CENTRAL HOLE<br />

%Difference between two consecutive runs<br />

4<br />

3<br />

2<br />

1<br />

[0/90] s & a/h=4<br />

N z =8, R z =14, R r =40<br />

N =30, S=6h<br />

0<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Nr=11 & Nr=10<br />

Nr=12 & Nr=11<br />

Nr=13 & Nr=12<br />

Fig 16. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N r parameter<br />

%Difference between two consecutive runs<br />

1.8<br />

1.6<br />

1.4<br />

1.2<br />

1.0<br />

0.8<br />

[0/90] s & a/h=20<br />

N z =8, R z =14, R r =40<br />

N =30, S=6h<br />

0.6<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Nr=11 & Nr=10<br />

Nr=12 & Nr=11<br />

Nr=13 & Nr=12<br />

Fig 17. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N r parameter<br />

%Difference between two consecutive runs<br />

2.0<br />

1.5<br />

1.0<br />

[0/90] s & a/h=100<br />

N z =8, R z =14, R r =40<br />

N =30, S=6h<br />

0.5<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Nr=11 & Nr=10<br />

Nr=12 & Nr=11<br />

Nr=13 & Nr=12<br />

Fig 18. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N r parameter<br />

43


KHALED M. EL-SAWY, ABDUL HAMEED ARWANI<br />

%Difference between two consecutive runs<br />

1.2<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

[0/45] s & a/h=20<br />

N z =8, R z =14, R r =40<br />

N =30, S=6h<br />

Nr=11 & Nr=10<br />

Nr=12 & Nr=11<br />

0.2<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Fig 20. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N r parameter<br />

%Difference between two consecutive runs<br />

1.2<br />

1.0<br />

0.8<br />

0.6<br />

0.4<br />

[0/60] s & a/h=20<br />

N z =8, R z =14, R r =40<br />

N =30, S=6h<br />

Nr=11 & Nr=10<br />

Nr=12 & Nr=11<br />

Nr=13 & Nr=13<br />

0.2<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

Fig 20. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N r parameter<br />

Based on his discussion, we may conclude that for thick and thin plates N r is advised to be<br />

15, for medium ones N r =13 could enough. As the difference between the plies orientations<br />

increases, one should add 2 to 4 elements to the above numbers.<br />

As stated earlier in the analysis <strong>of</strong> R z , R r does not affect the solution speed and cost, and<br />

then it can take any reasonable value between 40 and 60.<br />

C. Analysis <strong>of</strong> Parameter N <br />

The number <strong>of</strong> elements in the circumferential direction is usually dictated by the geometry <strong>of</strong><br />

the circular hole. This dictated number <strong>of</strong> elements is usually enough to produce accurate<br />

stress results. The initial value <strong>of</strong> N was set to 30 elements. Increasing the value <strong>of</strong> N from<br />

30 elements to 40 affects the results with %difference more than 1%, while increasing this<br />

value from 40 to 50 elements affects the results slightly (Fig. 21) although it increases the<br />

DOFs and solution time considerably. This applies for all stacking sequences and a/h ratios.<br />

Therefore, we may conclude that N =40 is a reasonable choice that would provide accurate<br />

stress results.<br />

44


OPTIMIZED 3D MESH FOR THE FINITE ELEMENT ANALYSIS OF LAMINATED COMPOSITE PLATE WITH CENTRAL HOLE<br />

%Difference between two consecutive runs<br />

1.0<br />

0.5<br />

0.0<br />

-0.5<br />

-1.0<br />

-1.5<br />

-2.0<br />

-2.5<br />

[0/90] s & a/h=20<br />

N z =8, R z =14, R r =40<br />

N r =10, S=6h<br />

-3.0<br />

0 10 20 30 40 50 60 70 80 90<br />

degree<br />

N =40 & N =30<br />

N =50 & N =40<br />

Fig 21. Difference in stress z between two consecutive computer runs along the hole<br />

boundary for the analysis <strong>of</strong> N parameter<br />

D. Analysis <strong>of</strong> a Plate with Real Ply Sequence<br />

The previous parametric study has been conducted for symmetrical four-ply laminated<br />

composites having different stacking sequences and hole size to thickness ratio. The study<br />

presented in this section targets the stress analysis <strong>of</strong> the same laminated composite plate with<br />

the same material, but with a real number <strong>of</strong> plies and a real ply-sequence. The newly<br />

examined symmetrical stacking sequence <strong>of</strong> the 18 plies is defined by 0/0/0/ 45/45/45/<br />

90/90/90/ 90/90/90/ 45/45/45/ 0/0/0. The ratio <strong>of</strong> the hole size to the ply thickness (a/h) is<br />

chosen to be 20.<br />

Fig 22. Geometry <strong>of</strong> the Plate and the General Details <strong>of</strong> the Global Mesh (a/h=20)<br />

As before, the sub-modeling technique is used and two FE models and meshes (i.e., global<br />

and sub-models) have been used. The parameters used for the mesh for the zone <strong>of</strong> interest in<br />

the global model are defined as follows:<br />

N z = 2, R z . = 1<br />

N = 10<br />

N r = 5, R r = 15<br />

45


KHALED M. EL-SAWY, ABDUL HAMEED ARWANI<br />

Figure 22 shows the geometry and FE mesh <strong>of</strong> the zone <strong>of</strong> interest with the previously defined<br />

parameters and the mesh for the rest <strong>of</strong> the global model.<br />

Fig 23. FE mesh <strong>of</strong> the sub-model based on the chosen mesh parameters (a/h=20)<br />

Figure 23 shows the geometry and the fine mesh for the sub-model where the following<br />

parameters are used:<br />

N z = 6, R z . = 10 (i.e. 3 elements on each half-thickness <strong>of</strong> the ply)<br />

N = 40<br />

N r = 15, R r = 50<br />

An Intel Core2 Duo PC with 2.33 GHz processor has been used to perform all the<br />

calculations. A hard disk space <strong>of</strong> about 160 MB was used to store all the vital files for the<br />

analysis. The time required to analyze the global model for plate with 18 symmetrical plies<br />

was less than one minute while the time required to analyze the sub-model was slightly less<br />

than 10 minutes and required about 2.4 Giga Bytes <strong>of</strong> storage. This computation power<br />

promises that a PC can handle a plate with number <strong>of</strong> symmetric plies more than 18, but with<br />

more demand on the storage space.<br />

E. Effect <strong>of</strong> Less Detailing <strong>of</strong> the Model through the Thickness Direction<br />

Fig 24. The FE mesh <strong>of</strong> the sub-model with fine mesh around all plies (a/h=20)<br />

46


OPTIMIZED 3D MESH FOR THE FINITE ELEMENT ANALYSIS OF LAMINATED COMPOSITE PLATE WITH CENTRAL HOLE<br />

Fig 25. The FE mesh <strong>of</strong> the sub-model with fine mesh around three plies only (a/h=20)<br />

Fig 26. Stress zz along the ply thickness for a model with fine mesh for all plies (a/h=20)<br />

Fig 27. Stress zz along the ply thickness for a model with fine mesh for the ply under<br />

consideration and its sandwiching plies (a/h=20)<br />

To reduce the problem size and the run time, the ply under consideration and its<br />

sandwiching plies can be finely meshed while the rest <strong>of</strong> the other plies can be coarsely<br />

meshed. Two analyses have been performed; the first for a sub-model mesh with N z =6 for all<br />

plies (Fig. 24) and the second for a mesh with N z =6 for the ply under consideration and its<br />

sandwiching ones and N z =2 for the rest <strong>of</strong> the plies (Fig. 25).<br />

47


KHALED M. EL-SAWY, ABDUL HAMEED ARWANI<br />

Figures 26 and 27 show the distribution <strong>of</strong> zz along the thickness <strong>of</strong> the considered ply. It<br />

is clear that there is no considerable difference in the results from both analyses which proves<br />

that fine meshing through the ply thickness is only required for the ply under consideration<br />

and its sandwiching plies.<br />

7. CONCLUSION<br />

A study is performed to select the optimum values for the parameters controlling the mesh<br />

used in the Finite Element analysis <strong>of</strong> laminated composite plates with holes. The mesh<br />

parameters considered are N z , R z , N r , R r , and N . The recommended values for the mesh size,<br />

arrangement, and parameters are as follows:<br />

1) The number <strong>of</strong> elements through the ply thickness N z depends mainly on the ply<br />

thickness. For thick plies (i.e. hole radius to ply thickness ratio a/h=4) N z can be taken as<br />

10. For medium ones (i.e. a/h=20) N z =8 is enough, while for thin ones (i.e. a/h=100) N z =6<br />

is sufficient.<br />

2) The spacing ratio R z for the elements through the ply thickness could take any reasonable<br />

value between 12 and 16.<br />

3) The number <strong>of</strong> elements in the sub-model along the radial direction N r depends on the<br />

hole radius to ply thickness ratio a/h. For a/h=20, N r could be taken as 13, while for<br />

a/h=100 and a/h=4, N r may be reasonably selected between 14 and 15.<br />

4) The spacing ratio for the element size in the radial direction R r can take any value<br />

between 40 and 60 since it does not affect the size <strong>of</strong> the problem.<br />

5) The number <strong>of</strong> elements along the hole circumference N may be reasonably chosen as 40.<br />

6) To reduce the size and run-time <strong>of</strong> the composite plate problem, the ply under<br />

consideration and its sandwiching plies can be finely meshed along the thickness direction<br />

while the rest <strong>of</strong> the other plies can be coarsely meshed with 2 elements along the ply<br />

thickness..<br />

8. ACKNOWLEDGMENT<br />

Support <strong>of</strong> this research was provided through a research project funded by the Dassault<br />

Aviation, France, and the United Arab Emirates University.<br />

9. REFERENCES<br />

[1.] R. B. Pipes & N. J. Pagano. “Interlaminar Stresses in Composite Laminates Under<br />

Uniform Axial Extension,” J. Composite Materials, Vol. 4, p. 204, 1970.<br />

[2.] D. Pullman & J. R. Schaff. “Three Dimensional Spline Variational and Finite Element<br />

Theory: A Comparison for a Laminate with a Circular Hole,” Structural Design and<br />

Analysis Methods, 1996.<br />

[3.] S. G. Lekhnitskii. “Theory <strong>of</strong> Elasticity <strong>of</strong> an Anisotropic Body,” Mir Publishers,<br />

Moscow, 1963.<br />

[4.] I. S. Raju & J. H. Crews, Jr. “Three Dimensional Analysis <strong>of</strong> [0/90]s and [90/0]s<br />

Laminates with a Central Circular Hole,” NASA-TM-83300, April 1982.<br />

48


OPTIMIZED 3D MESH FOR THE FINITE ELEMENT ANALYSIS OF LAMINATED COMPOSITE PLATE WITH CENTRAL HOLE<br />

[5.] W. E. Lucking, S. V. Hoa & T. S. Sankar. “The Effect <strong>of</strong> Geometry on Interlaminar<br />

Stresses <strong>of</strong> [0/90]s Composite Laminates with Circular Holes,” Journal <strong>of</strong> Composite<br />

Materials, Vol. 17, pp. 188-198, 1984.<br />

[6.] Y. Choi & E. S. Folias. “The 3D Stress Field in a Laminated Composite Plate with a Hole<br />

Based on an h-r Finite Element Method,” AMD-Vol. 196. Failure Mechanics in<br />

Advanced Polymeric Composites, ASME, 1994.<br />

[7.] J. Y. Kim & C. S. Hong. “Three-Dimensional Finite Element Analysis <strong>of</strong> Interlaminar<br />

Stresses in Thick Composite Laminates,” Computers & Structures, Vol. 40, No. 6, pp.<br />

1395-1404, 1991.<br />

[8.] T. Nishioka & S. N. Atlri. “Stress Analysis <strong>of</strong> Holes in Angle-Ply Laminates: An Efficient<br />

Assumed Stress ‘Special-Hole-Element’ Approach and a Simple Estimation Method,”<br />

Computers & Structures, Vol. 15, No. 2, pp. 135-147, 1982.<br />

[9.] W. C. Hwang & T. C. Sun . “A Finite Element Iterative Approach for Analysis <strong>of</strong><br />

Laminated Composite Structural Elements,” Computer & Structures, Vol. 31, No. 1, pp.<br />

55-62, 1989.<br />

49


AHU J. <strong>of</strong> Engineering & Applied Sciences 3 (1) : 51-73 (2010)<br />

© 2009 ALHOSN University<br />

AFFORDABILITY, ENABLEMENT, AND SUSTAINABILITY OF<br />

LOW-INCOME HOUSING<br />

Mahbubur Rahman *<br />

Universiti Teknologi Malaysia<br />

International Campus, 54100 Jalan Semarak, Kuala Lumpur, Malaysia<br />

ABSTRACT: Squatter settlements providing housing to 30-70% <strong>of</strong> the urban population in many developing countries<br />

have grown due to widespread poverty and inadequate housing finance and land development systems. Governments<br />

mostly assisted by the international aid agencies have improved environment, tenure security, income and resources in<br />

many settlements, but could not eradicate the problems as benefits did not multiply due to lack in institutional<br />

development, policy implementation, governance, participation etc. Moreover, the squatters’ capability to bring<br />

affordable and sustainable solutions was ignored. This paper discusses the changing approaches to the issues <strong>of</strong> lowincome<br />

groups housing worldwide in the above context, and examine the role <strong>of</strong> the World Bank in setting the trend.<br />

Keywords: Affordability, Enablement, Housing Policy, Self-Help, Squatter Settlement, Sustainability, Urban<br />

Development, World Bank.<br />

1. INTRODUCTION<br />

The emergence <strong>of</strong> cities as the unchallenged site <strong>of</strong> human development for the future and the goal<br />

<strong>of</strong> sustainable development have pushed hundreds <strong>of</strong> them to seek better means to encourage a<br />

synoptic view, act as levers for strategic change, and facilitate sustainable development (Holden<br />

2006). Rapid urbanisation taking place in the developing world's cities needs to be critically<br />

managed. There has been greater appreciation <strong>of</strong> their growing importance in the national<br />

economies recently as development became dependent on the ability <strong>of</strong> the urban centres to meet<br />

the essentials like housing. A rising standard <strong>of</strong> living and political ideologies have increased the<br />

awareness <strong>of</strong> human needs and social values (UKGP 1998), putting the onus to provide them,<br />

endorsed by the Habitat Conferences, on the government.<br />

The developing world’s urban population is going to be doubled by 2030; this will be accompanied<br />

by dramatic growth in the number <strong>of</strong> slums where a sixth <strong>of</strong> humanity lives today (UNCHS 2003).<br />

Given the social, economic and political situation <strong>of</strong> these people, these ill-built and ill-served<br />

houses were what most <strong>of</strong> them could afford (World Bank 1993), subject to exploitation due to<br />

scarcity (Tipple 1994). The global community was falling short <strong>of</strong> the Millennium Development<br />

Goal’s (MDG) target <strong>of</strong> significantly improving the lives <strong>of</strong> at least 100 million slum dwellers by<br />

2020 (UN 2000). 1<br />

This paper attempts to infer sustainable housing out <strong>of</strong> the concepts <strong>of</strong> sustainable development,<br />

compare the low-income group’s housing in the developing world against that, and establish the<br />

changing approaches to the low-income groups housing worldwide starting from the 1950s. It<br />

particularly examines the role <strong>of</strong> the World Bank, and other international bodies in setting the core<br />

1 Although slums are defined in a broader manner than inadequate housing, the UNHCS (2006) refers to it as the ‘shelter<br />

dimension <strong>of</strong> urban poverty’. According to it, the number <strong>of</strong> slum dwellers in the world has increased from 715 million in<br />

1991 to 913 million in 2001 and to 998 million in 2005, adding another 50 million in 2005-7. UNHCS (2007) projects that<br />

the world will have 1.4 billion slum dwellers in 2020.<br />

_____________________________________________________<br />

* Corresponding Author. Tel.: +6017683404، Fax: +60326934844<br />

E-mail : mmrahman417@gmail.com<br />

51


MAHBUBUR RAHMAN<br />

themes. It also highlights the advantages <strong>of</strong> self-built incremental in situ upgrading. The paper<br />

builds the case supporting such developments as an affordable means <strong>of</strong> providing sustainable<br />

housing to the low-income groups in the developing countries.<br />

2. SUSTAINABLE DEVELOPMENT<br />

According to the WCED (1987), sustainable development means meeting "the needs <strong>of</strong> the present<br />

without compromising the ability <strong>of</strong> future generations to meet their own needs". The idea emerged<br />

in the 1980s to bridge the gap between environmental concerns about the ecological consequences<br />

<strong>of</strong> human actions and socio-political concerns about development issues. While the<br />

conservation/preservation debate went on, the issues <strong>of</strong> population growth, pollution, and nonrenewable<br />

resource depletion got prominence (Robinson 2004). 2 Government and private bodies<br />

adopted the term sustainable development; academics used 'sustainability' reflecting the more<br />

managerial and incremental but less radical approach <strong>of</strong> the Brundtland report. Concerned that<br />

development was seen synonymous to growth, they focussed on the role <strong>of</strong> institutions,<br />

governance, and social capital in the process (Lehtonen 2004). Following will be a brief resume <strong>of</strong><br />

approaches to sustainable development and its implication in housing.<br />

2.1 Three Pillars:<br />

Initially not distinct, later sustainable development became a combination <strong>of</strong> ecological, economic,<br />

and social dimensions. This ‘triple bottom line’ constituted the basis for the generally accepted<br />

definitions <strong>of</strong> sustainable development (Lehtonen 2004). The international organisations endorsed<br />

the hierarchically equal, mutually interacting dimensions. While the importance <strong>of</strong> each pillar may<br />

vary from situation to situation, the model did not attribute any priority; it rather placed them as<br />

independent elements that can be analysed separately. Characteristics and logic specific to each <strong>of</strong><br />

them may conflict with others, with no basis to arbitrate between the conflicting objectives <strong>of</strong><br />

economic rationality, social justice and ecological equilibrium (Lehtonen 2004).<br />

While the three-pillar concept has been criticised for legitimising the current goals <strong>of</strong> the society,<br />

government agencies found favourable objectives to corroborate it. It also perpetuated the<br />

‘economism’ and ‘productivism’ characters <strong>of</strong> modern societies. Yet this articulated a new set <strong>of</strong><br />

checks and balances beyond the basic efficiency-equity, and cost- benefit binaries <strong>of</strong> traditional<br />

policy analysis. However, maintaining a positive balance in all three areas directly implies<br />

privileging limits and precaution over growth and accumulation.<br />

Philosophically, Norton (1999) defined sustainability as a social imperative, not ecological with<br />

social and economic implications. Until recently, sustainable development perceived as<br />

environmental issue not integrated into economic decision-making. The importance <strong>of</strong> social<br />

dimension in the overall economy— considered the weakest ‘pillar’ <strong>of</strong> sustainable development in<br />

its analytical and theoretical underpinnings, is only seen now (Forster-Kraus et al. 2009). Woolcock<br />

(2001) attributed the social interest to the fall <strong>of</strong> communism, the ostensible difficulties <strong>of</strong> creating<br />

2 Rather than a consensus-based understanding, the Brundtland report presents the term as a language truce about a set <strong>of</strong><br />

ideas, like democracy, freedom, or justice, over which wars could be waged (Mebratu 1998; Pezzoli 1997; Guha &<br />

Martinez-Alier 1997). For international development scholars and practitioners in environmental <strong>sciences</strong> and policy<br />

fields, sustainable development has become a universally integrative term, elevating the idea beyond urban planning and<br />

policy domains.<br />

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AFFORDABILITY, ENABLEMENT AND SUSTAINABILITY OF LOW-INCOME HOUSING<br />

market institutions in transitional economies, the financial crises in Latin America, East Asia, and<br />

Russia, and the persistent problems <strong>of</strong> unemployment and social marginalisation.<br />

The three-pillar model strengthens the idea that the economy can be detached from the social<br />

context that embodies all human activities, separating the ‘social’ from the ‘economic’ and denying<br />

the relations between human societies and their environment (Passet 1996). Moreover, though<br />

always prevalent, these are not qualitatively equal; disagreements over their hierarchy have<br />

prevented a model from being widely adopted. However, the social dimension that is <strong>of</strong>ten difficult<br />

to quantify cannot be analysed through the same framework and tools as the ecological or<br />

economic one (Empacher 2002; Dubois & Mahieu 2002). Passet (1996) suggested an alternative<br />

model where economic activities should serve all while also safeguarding the biophysical systems<br />

for their existence; the social would be in the command <strong>of</strong> the economic, and also to the ultimate<br />

environmental constraints.<br />

The hierarchy does not mean that the environment would always be the most important and<br />

relevant dimension. In a given situation, social or economic aspects may be more relevant as long<br />

as the operation <strong>of</strong> socioeconomic systems does not conflict with the environmental framework<br />

(Norgaard 1994).<br />

2.2 Sustainable Housing:<br />

Sustainability focussed on social and economic conditions in developing countries, their connection<br />

to environmental degradation, and the people’s coping ability. Policies advocated for sustainable<br />

development see urban development as that promotes economic growth, maintains social inclusion,<br />

and minimises environmental impact. Some adopters <strong>of</strong> sustainability frameworks, e.g. the European<br />

Commission (2001), created more directed approaches for building pr<strong>of</strong>essionals: “economic growth<br />

[that] supports social progress and respects the environment, social policy [that] underpins economic<br />

performance, and environmental policy [that] is cost-effective” (Roseland 2000).<br />

Sustainability is a political act based on human decisions and ways <strong>of</strong> life, not a scientific concept<br />

(Robinson 2004). According to Greider (1997), it “carries revolutionary implications” for urban<br />

planning and management, “but sounds so wholesome that almost everybody can endorse it”. Initially<br />

conceived as a term related to macro economic development, sustainability has been <strong>applied</strong> to<br />

housing only recently (Choguill 1999). Given the phenomena <strong>of</strong> urbanisation and severe housing<br />

problems in these cities where the greatest resource use occurs and which generate the most waste<br />

products and pollution, the concept has relevance to urban housing with economic, environmental<br />

and social implications.<br />

The complexity accompanying this shift is a reason for this delay. To remain meaningful, the concept<br />

<strong>of</strong> sustainable human settlements must stay within the absorptive capacity <strong>of</strong> local and global waste<br />

(Foy & Daly 1992), the achievement <strong>of</strong> the sustainable use <strong>of</strong> renewable (Daly 1992) and replenishable<br />

(Rees 1996) resources, the minimisation in the use <strong>of</strong> non-renewable resources (El Sarafy 1989),<br />

and meeting basic human needs (Hardoy et al. 1992). The last, distinguishing the definition from the<br />

more general environmental approaches to sustainability, guides the housing issues.<br />

The relationship between development and urban social conditions is complex. That social aspects<br />

<strong>of</strong> housing were as important as environment and economic dimensions <strong>of</strong> sustainability is<br />

increasingly realised (Forster-Kraus et al. 2009). The economic sector addressing the financial<br />

aspects <strong>of</strong> social justice, accompanying the environmental sustainability, is an important element <strong>of</strong><br />

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MAHBUBUR RAHMAN<br />

it, while the environmental limits are an important constraining influence on economic growth.<br />

Social sustainability refers to “policies and institutions that can integrate diverse groups and<br />

cultural practices in a just and equitable fashion. As cities develop, the degree <strong>of</strong> social inequality,<br />

cultural conflict and political fragmentation experienced within urban boundaries has increased”<br />

(Stren & Polese 2000).<br />

The “free-market” city attempts to overcome both environmental and social challenges as their<br />

wealth increases. Thus growth not only increases the general wealth <strong>of</strong> society, it also increases<br />

scope for protecting environment by trickling down. In order to be sustainable, housing initiatives<br />

must be economically viable, socially acceptable, technically feasible and environmentally<br />

compatible; housing policies should target to achieve these aims. The ‘brown agenda’ laid down<br />

guidelines for sustainable urban development, followed by the UN calling the local governments to<br />

mobilise broad-based, participatory, and sustainable environmental improvement. Implementing<br />

the agreements reached at the 1992 Rio Summit required a concerted action at the local level<br />

(Agyeman & Evans 1996), focussing on community, participation, partnership, accountability, etc.<br />

3. HOUSING POLICY AND PRACTICE<br />

In the decades after the WWII, public housing became a major mode in the developing countries<br />

where meagre resources were spent on housing mostly for the government employees (Keivani &<br />

Werna 2001). Aimed at eliminating the 'ugly ' informal settlements, these could not overcome the<br />

escalating urbanisation, overcrowding, poverty, and informal settlement growth (Pugh 1995). Many<br />

<strong>of</strong> them did not meet the low income populations’ demand; 90% <strong>of</strong> the urban population depended<br />

on the private and informal sectors (Baross & van der Linden 1990; Drakakis-Smith 1981; Kevani<br />

& Werna 2001). For example, Grimes (1976) found that families in Ahmedabad, Bogota, Hong<br />

Kong, Madras, Mexico City and Nairobi could not afford to buy a ‘cheap’ subsidised government<br />

house.<br />

Critics <strong>of</strong> public housing, urban renewal, and modernist visions <strong>of</strong> urban development were<br />

growing during the 1960s. Abrams (1964) and Turner (1968, 1972, 1976a, 1976b), who influenced<br />

the theories and policies <strong>of</strong> low-income housing for decades, drew attention to the housing<br />

production process inherent in informal settlements (Choguill 1999). They brought the gross<br />

housing shortages and huge squatter settlements lacking in basic utilities in the cities in these<br />

countries into the world’s notice in the 1950s. By focussing on incremental housing <strong>of</strong> the lowincome<br />

groups, they initiated in situ upgrading <strong>of</strong> such settlements that was the main form for<br />

improving the living conditions <strong>of</strong> these people (Abbot 2002).<br />

Turner advocated sites-and-services and slum improvement schemes identifying the aspects <strong>of</strong> selffulfilment<br />

<strong>of</strong> the slum-dwellers and their commitment to housing shown in things they value (Pugh,<br />

2000). He defined an extended process by ‘freedom to build’ or as a ‘verb’. Furthermore, Turner<br />

(1976b) supported owner-built homes, however modest, to well-built public housing because <strong>of</strong><br />

their differing “structure[s] <strong>of</strong> authority and control”, i.e. capability to participate (Harris 2003) as<br />

they could best decide their needs (Choguill 2007). Such autonomy was fundamental to Turner<br />

(1968), who argued that squatter settlements improved over time within means, fitting their<br />

circumstances, is more affordable to both the dwellers and the government.<br />

Therefore, squatter upgrading and self-help would be more sustainable compared to mostly<br />

unaffordable typical public housing schemes that did not reach the target groups (Rahman 1999,<br />

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AFFORDABILITY, ENABLEMENT AND SUSTAINABILITY OF LOW-INCOME HOUSING<br />

2004). These were advocated consistently by experts and international agencies since the late 1940s<br />

(Harris 2003). It meant not only the investment <strong>of</strong> sweat equity, but also the processes <strong>of</strong> ownerdesign<br />

and management. Turner saw these as solutions, not problems (Mangin 1967; Drakakis-<br />

Smith 1981). Watts (1997) credited him for the “reorientation <strong>of</strong> shelter programs, away from slum<br />

clearance to the environmental improvement <strong>of</strong> squatter settlements; towards the setting-up <strong>of</strong><br />

policies to assist individuals to solve their own problems.”<br />

Aided self-help <strong>of</strong> the early 1960s too was more affordable than public housing though did not<br />

provide control. The later sites-and-services housing aimed to assist and repeat the success <strong>of</strong> the<br />

incremental house building and improvement process <strong>of</strong> the informal settlements to supply<br />

affordable housing units to the urban low income households. The provision <strong>of</strong> core units was the<br />

alternative that could be occupied relatively quickly by the household and extended when the<br />

occupier would afford the resources. The World Bank championing urban project assistance in the<br />

developing countries adopted Turner’s ideas; by the 1987 International Year <strong>of</strong> Shelter for the<br />

Homeless, these were well established, and remained broadly valid throughout. The following two<br />

subsections will summarize the approaches by the international agencies and governments to lowincome<br />

group’s housing, and analysis <strong>of</strong> spontaneous developments in the informal sector.<br />

3.1 International Community:<br />

The international agencies gave direction to the consulting community, governments, and the UN<br />

(Choguill 2007) as “a trendsetter for development thinking” (Huchzermeyer 1999). Abbott (2002)<br />

identified the radical shift from public housing, mandating self-help through sites-and-services and<br />

in situ slum upgrading when “the housing policies <strong>of</strong> almost all developing nations were devoted to<br />

complete houses for the poor" (Peattie & Doebele 1973). 3 Realising that this could not solve<br />

housing problems, international bodies and governments started assisting the poor to build their<br />

own houses in a cost-effective way after the 1960s.<br />

1972–82, 1983–93, and post-1993 were the phases when the international agencies providing<br />

financial assistance modified their housing development strategies (Pugh 2000), drifting from a<br />

focus on self help to a holistic development, relating housing to other development sectors<br />

(Kessides 1997). Full cost recovery was essential in the World Bank’s funding <strong>of</strong> sites-and-services<br />

schemes since 1972 as large-scale subsidies were infeasible (Choguill 2007; World Bank 1972,<br />

1973).<br />

Early planning evolved to manage housing development on vacant plots that had many political,<br />

pr<strong>of</strong>essional, funding and management advantages (Abbot 2002). Still unaffordable to at least 20%<br />

<strong>of</strong> people, it was found that sites-and-services schemes could not be sustained (Swan et al.1983);<br />

the site-based projects did not multiply benefits, address the subsidy issues, eradicate poverty, or<br />

increase land ownership to enhance the Poor’s access to housing, and hence were not replicable.<br />

Also, planning and building regulations based on western ideals inhibited an expansion <strong>of</strong><br />

affordable mass housing, with scope for extension and remodelling, employment generation, etc.<br />

3 Geddes had endorsed assisted self-help as early as 1918 and by the late 1950s its variations by Abrams (1964), Atkinson<br />

(1961) and Weissman (1960) were familiar. So, too, had major international agencies (Harris 2003) that incorporated<br />

economic arguments in favour <strong>of</strong> self-help in their wisdom. During the 1950s, they justified it for policies <strong>of</strong> assistance to<br />

owner-builders. The World Bank in its first country report acknowledged the economic importance <strong>of</strong> self-help in<br />

Colombia. By the early 1960s the economic benefits <strong>of</strong> self-help were part <strong>of</strong> conventional wisdom (Frieden 1965), taken<br />

for granted by many <strong>of</strong> the contributors to the collection written for a US Senate subcommittee in 1963.<br />

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MAHBUBUR RAHMAN<br />

The 1976 Vancouver Habitat Conference recommended that the governments intervene to supply<br />

housing resources that involves large infrastructure and investment. The 1996 Istanbul Conference<br />

furthered through public-private partnership involving the stakeholders to identify and transform<br />

priorities into action plans: creating institutions for urban environmental improvement, and building<br />

capacities to participate and cooperate. The policy shift towards sustainability accepted informal<br />

settlements to bring a lasting development (World Bank 1991).<br />

The same standard <strong>of</strong> service delivery in settlement upgrading as in formally planned ones was<br />

ineffective. Thereafter, leaving low-income infrastructure provisions to the community to plan,<br />

build and manage themselves led to “progressive improvement model” (Choguill 1999). Similar to<br />

settlement upgrading, service provision could be gradually upgraded, and thus be affordable and<br />

sustainable. This sought to match the level to the ability <strong>of</strong> either the community or the local<br />

authority to manage in a sustainable way. Open and wide ranging in interventions, progressive<br />

infrastructure was successful in the Sri Lanka million houses program, and in other South Asian<br />

cities, owing to community decision-making.<br />

Sustainability cannot be brought without making the economy, environment and society parts <strong>of</strong> an<br />

overall development (Barbier 1988). Institutional reform had to be backed by comprehensive urban<br />

policies to sustain programs in the long run (World Bank 1983). Yet project-oriented theory,<br />

practice and policy <strong>of</strong> self help schemes that were to be translated into overall changes remained<br />

strong due to available funding, and instant benefits for all (Rahman 1999). In some cases only, e.g.<br />

in Karachi and Indonesia, large-scale upgrading became an essential part <strong>of</strong> the physical planning<br />

process <strong>of</strong> the urban areas affecting all informal settlements (Saleem 1983; Silas 1983).<br />

Redirected policies in the 1990s focussed on institutional reform. Gradually withdrawing from direct<br />

physical involvement, agencies generated and channelled funds in social housing with self-help<br />

components through structured finance and purpose-built institutions, the NGOs, 4 and CBOs. This<br />

allowed faster fund disbursement, better chance to reach target groups, and increase recovery by<br />

involving small groups. 5 The projects recovered the cost by setting target by affordability, and thus<br />

remained financially sustainable. Following the motto <strong>of</strong> affordability-accessibility-replicability<br />

(Choguill 1987), 6 this was more successful in countries with already developed housing finance<br />

systems (Rahman 1999). 7<br />

4 In addition, the NGOs can assist squatter settlements by helping to develop appropriate community organisations and<br />

mobilisation, provide technical and organisational skills for aiding self help house building and increasing their access to<br />

housing finance through creating financial co-operatives, provide loans directly or acting as intermediaries with formal<br />

commercial banks as guarantors for low income borrowers (Mitlin & Satterthwaite 1992; Igel & Srinivas 1996; Desai<br />

1996; UNCHS 1996a, 1996b; Rahman 1999).<br />

5 The Grameen Bank in Bangladesh developed credit and technical advice for women's enterprise, for housing, and for<br />

transforming social development among the poor; international agencies are supporting such initiatives (Rahman 1999).<br />

6 Accordingly, capital costs were to be set by the target group’s ability and willingness to pay, not by planning ideals and<br />

design standards. But cost recovery formula followed old convention where all components had to be paid for. It<br />

matched the Bank's priority for recovery so that it could repay the international credit and make economically and socially<br />

responsible uses <strong>of</strong> grants (Rahman 2004; Pugh 2000). At the end, the successful projects identified, improved and<br />

mainstreamed (Abbot 2002) could be replicated in similar situations elsewhere (Choguill 1987; Pugh 2000).<br />

7 In Bangladesh as international project grants were coming after the 1987 and 1988 floods, the government established a<br />

rural employment generation foundation to disburse and monitor them, instead <strong>of</strong> the central bank. An allocation <strong>of</strong> US$<br />

250 million by the World Bank in 1988 in India helped the Housing Development Finance Corporation to extend its<br />

credit coverage down the income ladder and stimulate local housing finance institutions. With Bank loans Chile<br />

introduced housing vouchers for sites-and-services schemes. In Brazil's Parana Market Towns Improvement Project in<br />

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AFFORDABILITY, ENABLEMENT AND SUSTAINABILITY OF LOW-INCOME HOUSING<br />

However, costs could be seldom recovered, project sites were remote from employment<br />

opportunities and unaffordable, institutional capability and expertise to implement and monitor was<br />

<strong>of</strong>ten weak, and therefore gentrification compounded the problems (ADB 1983), corruption was<br />

<strong>of</strong>ten rampant, inhibiting accessibility, and the projects did not lead to wider socio-economic<br />

development <strong>of</strong> the entire urban areas (Pugh 1990; Nientied & van der Linden 1985; Skinner et al.<br />

1987; Turner 1980). Moreover, outputs failed to make any qualitative or quantitative impact<br />

(Rahman 1999).<br />

Thus residents’ housing and non-housing choices do not need to be constrained to encourage<br />

affordable housing. It rather has the potential to improve the social sustainable environment in<br />

communities and cities (Forster-Kraus et al. 2009).<br />

Such holistic approach is set to develop finance more, reduce the backlogs, increase inadequate<br />

infrastructure, reform negative land management and land policy, introduce financial transparency<br />

to accelerate supplies in low-income housing, increase competitiveness <strong>of</strong> the construction industry,<br />

and establish or reform institutions (Pugh 2000). Social effectiveness was brought by decentralising<br />

responsibility <strong>of</strong> maintenance and cost recovery through the beneficiaries’ groups. Compared with<br />

the earlier shelter-oriented approach, approaches <strong>of</strong> the 1980s and 1990s prioritised broader and<br />

deeper institutional reforms and development, and creating a strong base for reorientation <strong>of</strong><br />

policies in the future. Also funding through the local government bodies proved appropriate in the<br />

backdrop <strong>of</strong> weak financial markets in many developing countries.<br />

Recent thoughts on development policy, instigated by Stiglitz (1998) and Wolfensohn (1999), drifted<br />

away from the above concept, which were followed by many developing countries that favoured<br />

opening up the market. The Bank (1999a) emphasised on broader urban issues in the late 1990s to<br />

enhance and sustain economic growth and modernisation. Thus improvement <strong>of</strong> living qualities,<br />

poverty reduction, job creation and production, environmental sustainability, and enhancement <strong>of</strong><br />

agglomeration economies were included as strategies to strengthen a balanced urban development<br />

(World Bank 1999). This gave priority in program finance and management to improve squatter<br />

settlements.<br />

3.2 Housing Process:<br />

As low income groups are unable to acquire good formal sector housing, unconventional or<br />

informal housing remains a necessary part <strong>of</strong> urban growth in the developing countries (UNCHS<br />

1996c; Gilbert 1990; Drakakis-Smith 1981). Appearing disorganised and inadequate initially, these<br />

with their own logic can be gradually upgraded as needs are felt and resources, including fund,<br />

materials, labour, etc. are available (Angel & Benjamin 1976). Many squatters go on to consolidate<br />

and improve their housing over time (Drakakis-Smith 1981; Turner 1976a), slowly shaping<br />

communities. 8 Low-income people can live in incomplete shelters to be improved later. Thus<br />

1983–88, a few towns created a municipal fund out <strong>of</strong> World Bank’s seed fund. The credit terms required sustainable<br />

finance through cost recovery achieved by skilled management <strong>of</strong> transactions. Yet, the local governments and<br />

households could have their own sub-projects, select the price according to their need, priority and affordability, through<br />

participation (World Bank 1994).<br />

8 This is not applicable to all squatter settlements or all in such settlements. In many Asian and African squatter settlements,<br />

the squatters do not move on from their initial stage <strong>of</strong> occupation (Shakur 1987). In Latin America where the squatters<br />

consolidated through improvement, there is a distinction between dynamic settlements and static and stagnant ones<br />

(Drakakis-Smith 1981). Owner occupation, strong group cohesion and the emergence <strong>of</strong> political leaders and CBOs<br />

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MAHBUBUR RAHMAN<br />

compared to formal sector that ignores the needs <strong>of</strong> survival and flexibility <strong>of</strong> the low and<br />

intermittent income <strong>of</strong> the poor (Smets 1999), incremental upgrading distributes the affordable<br />

consumption and saving over time. This increases sustainability.<br />

Lower income dwellers can house themselves respectably at much lower than the formal sector<br />

cost as a large degree <strong>of</strong> the construction work would be carried out by the occupants using<br />

unconventional materials and techniques. The ‘process’ rather than the 'product' approach can halve<br />

the initial requirements for building compared to formal construction costs (Benjamin & McCallum<br />

1985), in exchange for social obligations to be met by the family over a period. The selfmanagement<br />

replaces up to a third <strong>of</strong> the labour cost (Payne 1983); 9 participatory environmental<br />

improvement is a saving too (Pugh 1994). In reality though most self help projects involve some<br />

degrees <strong>of</strong> paid labour and contract building; 92% <strong>of</strong> households in the sites-and-services projects<br />

in Lusaka used hired labour (Tipple 1994).<br />

A house is the largest commitment <strong>of</strong> a family (Maliene & Malys 2009). Despite a humble result,<br />

house building is an apocalyptic event for a low-income family, co-opting family members,<br />

marshalling all physical and monetary resources, collecting debts, and calling upon the community<br />

and the family for assuming new debt and obligations. Extended over time, this is the beginning <strong>of</strong><br />

a longer commitment to constantly make improvements and additions. Thus these turn out to be<br />

more acceptable and suitable to the socio-economic needs <strong>of</strong> lower-income people (Turner 1976a),<br />

and so are more affordable and sustainable.<br />

Informal sector self-help and self-built provide housing to 30–70% <strong>of</strong> urbanites in many developing<br />

countries (Keivani & Werna 2001). Self-management where skilled crew and hired labourers do<br />

most works, popular among the middle and upper-income groups, works with incremental building<br />

process too. The least common way is by the contractors for the wealthier people or organisations;<br />

better-<strong>of</strong>f is a society more <strong>of</strong> such houses emerge (Peattie 1987).<br />

Secure or expected occupancy rights motivate expression <strong>of</strong> built form in squatter settlements.<br />

While extending shelter, occupiers mark own aesthetic identity on it. This becomes sustainable due<br />

to a commitment <strong>of</strong> low-income people to place and home (Turner 1976a), perceiving the<br />

improvements as a part <strong>of</strong> wider resident activities are. Although the resourcing and organisation <strong>of</strong><br />

improving infrastructure and making personal investments to squatter houses have been discussed,<br />

enhancement <strong>of</strong> aesthetics and cultural amenities was less discussed. Against such functional<br />

dominance, Marcus (1995) focused on the personal meaning residents attach to their home that<br />

leads them to improve housing.<br />

Such deep human expression in self-help improvement is instigated by tenure form and length<br />

(Rahman, 1999; Pugh, 2000). 10 The mark <strong>of</strong> environmental change, local culture, and design and<br />

construction knowledge shows colour, adaptation, and space for rituals and festivals; and create<br />

specific and varied living environments (Rapoport 1988). A make-shift shack— the outcome <strong>of</strong><br />

which induce investment in housing and influence national political leaders for recognition and facilities were the<br />

distinguishing features <strong>of</strong> the former. The latter was characterised by high levels <strong>of</strong> renting, low group cohesion and<br />

community representation (UNCHS 1996c; Gilbert 1990). the level <strong>of</strong> owner occupation that induces both personal<br />

investment and group cohesion was the determining factor in this situation (UNCHS 1996c; Gilbert 1990).<br />

9 Materials cost is reduced by buying recycled and used items in informal sector. Family labour is usually free; skilled labour<br />

can be bartered for. Gerrul (1979) calculated that in lower-income housing, 35% labour is self-help; another 60% is semiskilled.<br />

10 For example, San Miguel, Mexico, or Klong Toey squatter settlement with 70,000 families in Bangkok's Port Authority land.<br />

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AFFORDABILITY, ENABLEMENT AND SUSTAINABILITY OF LOW-INCOME HOUSING<br />

rational thinking utilising limited available resources, reveals beliefs, aspirations, and the worldview,<br />

simultaneously impacting the political, the visual, and the cultural. As it is ‘architectural’<br />

same way as a ‘designed’ building, designers and planners could learn from these spontaneous<br />

open-ended, multi-sensory, semi-fixed settlements adding on elements, as architecture is about<br />

human drive, vision, interest and the identification <strong>of</strong> place (Unwin 1997).<br />

Most housing solutions focused on price reduction to close to the households’ ability to pay. These<br />

ignored the low-income families’ willingness to make extra effort to match financial requirements.<br />

With ownership prospect, household can readily devote more <strong>of</strong> their meagre resources, both<br />

monetary and commitment <strong>of</strong> non-monetary like spare time (Ward 1984a; Rahman 1999). Though<br />

low-income families have little savings, some <strong>of</strong> them could amass housing resources (Keare &<br />

Jimenez 1983), <strong>of</strong>ten by selling essential items (Rahman 2008). They improve affordability by<br />

using allocated space (CIVIS 2003), for example by renting out or using as workshops, <strong>of</strong>ten<br />

involving more family members (Setshedi 2006; Mai & Shamsuddin 2008). 11<br />

4. POVERTY AND SUSTAINABILITY<br />

Poverty is about the lack <strong>of</strong> capability to expand social opportunity in markets, in state policy, and<br />

in households; these development requisites focus on the freedom <strong>of</strong> individuals to choose values<br />

and lives worthy to them (Drèze & Sen 1995; Sen 1999; Sen & Wolfensohn 1999). Personal<br />

commitments and appropriate human bondage generated in low-income housing through freedom<br />

and control over the process can lead to poverty reduction. Fogel (1994) argued that improved<br />

nutrition, the advancement <strong>of</strong> medical knowledge, and the qualities <strong>of</strong> housing increase health and<br />

economic productivity over long-term development transitions. The principles are evident in the<br />

low-income housing requiring social co-operation to improve environmental conditions in a<br />

sustainable way.<br />

Environmental regulation combined with market based town planning, can play a part in<br />

ameliorating the slum problems if sufficient resources and powers are vested. The market<br />

sensitivity to building performance and impact is usually inhibited by price inflation linked to<br />

excessive demand for social, economic and other benefits. Integrating poverty alleviation and<br />

environmental improvement, Brundtland concluded that “the problems are entwined such that<br />

ecological sustainability cannot be achieved if the problem <strong>of</strong> poverty is not addressed” (Robinson<br />

2004). This linked the vast and complex issue <strong>of</strong> environmental deterioration with the equally vast<br />

and complex issue <strong>of</strong> human development, both affected by poverty.<br />

The mainstream now views environment differently from when related problems were regarded as<br />

minor, technical, soluble, and politically uncontentious in the 1980s. Economic growth and social<br />

progress could duly solve these, as increasing wealth created the resources including technology.<br />

Today, it is acknowledged that environmental problems require significant social and economic<br />

changes, not merely technical solutions. Sustainable development is the vehicle for this change,<br />

addressing the conflict between environmental protection and economic growth. It accepts that the<br />

former requires fundamental change in the direction <strong>of</strong> economic progress and institutional policy.<br />

But it argues that this is compatible with continued economic growth in a (regulated) global<br />

capitalist system.<br />

11 Projects would <strong>of</strong>ten be designed to integrate productive use enhanced by incentives like space and credit in Cairo,<br />

Mexico, Nairobi and Senegal (Ward 1984b), or use future income sources to assess affordability (Lee 1985).<br />

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MAHBUBUR RAHMAN<br />

Favouring the human-centred nature <strong>of</strong> the Brundtland Report, the reformists suggested that the<br />

answer to both over- and under-consumption, i.e. the environmental concerns, lay in promoting<br />

more <strong>of</strong> sensitive human development that requires improvements in technology and efficiency.<br />

Devoid <strong>of</strong> spiritual values, or individual responsibility, it rather focused on collective institutional<br />

responses and social responsibility, and embodies an anthropocentric approach around human<br />

needs.<br />

The WCED recognised poverty as a major source <strong>of</strong> environmental degradation. Yet development<br />

agenda revolved around macro-economic stabilisation through relentless export-led growth and<br />

market liberalisation <strong>of</strong> the early-1980s. The 1997-98 financial crises exposed the limitations <strong>of</strong><br />

such approaches followed by many developing countries— the absence <strong>of</strong> a broad basis in the<br />

politics <strong>of</strong> socio-economic development. Countries like Thailand and Indonesia succumbed to<br />

international speculation and bad market governance (Pugh 2000).<br />

Stiglitz (1998) favoured medium-term strategic development policies to alleviate poverty through<br />

socio-economic transformation. He advocated holistic societal changes understood as development<br />

transitions, for example, improving the environmental and health dimensions, the changing<br />

volumes and characteristics <strong>of</strong> poverty, etc., not isolated development <strong>of</strong> individual sectors. In an<br />

overall context, such development policies could use transitions in a combination <strong>of</strong> varying<br />

emphasis on different sectors, based on the pragmatic context-based realities, and socio-economic<br />

opportunities.<br />

The WECD downplayed the extent to which poverty alleviation and environmental improvement<br />

result from wealth (Roseland 2000). Trainer (1990) was dismayed that it chose economic growth<br />

and attendant social and environmental impacts (e.g. tendency to exploit labour and the<br />

environment) over a consciously appropriate development strategy for the developing world (e.g.<br />

adequate housing and clean water rather than industry and export). NTFEE (1987) stated that<br />

“sustainable economic development does not require the preservation <strong>of</strong> the current stock <strong>of</strong> natural<br />

resources or any particular mix <strong>of</strong> human, physical and natural assets. Nor does it place limits on<br />

economic growth, provided that is both socially and environmentally sustainable.”<br />

The oxymoron that comes from combining sustainability with its greatest threat, development, is<br />

paralleled by calls to combat exclusion <strong>of</strong> the low-income group (Clark 2001), and restore a<br />

broader social and economic purpose <strong>of</strong> housing equity. However, the aspiration is not matched by<br />

the ideological commitment to provide the resources and powers necessary to change the status<br />

quo; politicians and bureaucrats may adopt language and sentiment without the will or means, or<br />

empowering the poor (Rahman 1999). Only a process <strong>of</strong> political mobilisation and mass education<br />

can change assumptions and behaviour. Under ideal conditions acquisition and incorporation <strong>of</strong><br />

intelligence replaces rhetoric, informs policy and leads to a more measured approach to current<br />

anxieties. But most <strong>of</strong> the time we deal in a less scientific or certain way as rhetoric and vision<br />

influence priorities and decisions.<br />

Sen (1987, 1999) criticised the way neo-institutional and ecological economics direct towards the<br />

conventional economic theories, based on individual capabilities and the concept <strong>of</strong> ‘social capital’,<br />

to address the social dimension <strong>of</strong> sustainable development. This meant the alternative<br />

combinations <strong>of</strong> functionings a person can achieve that in turn denotes the various things he may<br />

value— from elementary like shelter to complex like community participation (Sen 1999). Policies<br />

should not focus on collective outcomes such as the distribution <strong>of</strong> income, but rather on building<br />

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AFFORDABILITY, ENABLEMENT AND SUSTAINABILITY OF LOW-INCOME HOUSING<br />

individual capabilities, and ensuring that people have the freedom to convert economic wealth into<br />

desirable outcome.<br />

Ballet et al. (2003) defined socially sustainable development as one that “guarantees an<br />

improvement <strong>of</strong> the capabilities <strong>of</strong> social, economic or environmental well-being for all, through<br />

the aspiration <strong>of</strong> equity on the one hand, as intra-generational distribution <strong>of</strong> these capabilities, and<br />

their transmission across generations on the other hand”. He extended the notion <strong>of</strong> capabilities<br />

from individuals to cover also societies. The structure <strong>of</strong> capabilities expresses the adaptation <strong>of</strong> an<br />

individual or a society to a number <strong>of</strong> external constraints.<br />

The capability approach emphasises on the improvement <strong>of</strong> social conditions from one generation to<br />

another, and on the interactions between the three spheres <strong>of</strong> development—social, environmental<br />

and economic. In designing policies, not only the effects <strong>of</strong> economic and environmental actions on<br />

the social dimension, but also decisions within the social sphere itself have to be looked into. This<br />

expresses both an individualistic and a social point <strong>of</strong> view—on one hand, it looks at the capabilities<br />

<strong>of</strong> rationally and responsibly acting individuals, and on the other hand, at the social capabilities <strong>of</strong> a<br />

society and the roles <strong>of</strong> social actors. These are not necessarily in harmony with each other, since the<br />

improvement <strong>of</strong> education, health, employment, etc. may have harmful effects on some groups and<br />

thus even threaten social cohesion.<br />

Social policies such as poverty reduction programs may in fact adversely affect certain capabilities,<br />

with an increasing vulnerability <strong>of</strong> individuals and social inequalities as a result. Actors are thus<br />

themselves to decide which capabilities are to be considered. Finally, freedom is a key element in<br />

Sen's approach—all evidence seems to show that even the poor attach significant value to freedom,<br />

they may not seem ‘rational’ from traditional economic perspective <strong>of</strong> maximising utility. Thus<br />

arguments about self-help and identity in housing make more sense in terms <strong>of</strong> sustainability. The<br />

following subsection will discuss another important issue <strong>of</strong> sustainable housing, i.e. <strong>of</strong> increasing<br />

the capacity.<br />

4.1 Enablement:<br />

Reducing the state’s involvement in directly providing housing and expanding the role <strong>of</strong> the<br />

private market was accepted in the 1980s, pursued by most developing countries irrespective <strong>of</strong><br />

ideology or political structures (Israel 1990). Governments for long have played the hopeless role<br />

<strong>of</strong> ‘provider’ by constructing housing to directly solve the shortages in various countries. The<br />

enablement strategy, given birth by an urgent need for scaling up housing supply, was aimed at<br />

creating a congenial economic and social framework to enhance economic efficiency and social<br />

effectiveness so that capability to solve own housing problems could grow. This could be met by<br />

expanding the role <strong>of</strong> the private markets, rather than relying on project based approaches that<br />

could not alleviate housing shortages.<br />

Given the private sector dominates housing, enablement can expand housing production on a<br />

national scale by public support for the activities <strong>of</strong> the formal/informal markets and for the self<br />

help activities <strong>of</strong> the low income households. Attention was directed toward devising ways <strong>of</strong><br />

providing the financial, legal and institutional support (UNHSP 2005). Therefore, the international<br />

agencies started to encourage the creation <strong>of</strong> an enabling environment emanating into deregulation<br />

and institutional development <strong>of</strong> specially the land and housing markets to overcome the external<br />

constraints (LaNier et al. 1987; Kimm 1987; Loh 1987).<br />

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MAHBUBUR RAHMAN<br />

This shift resulted in the adoption <strong>of</strong> a new World Bank housing sector policy paper, and formed<br />

the basis <strong>of</strong> the Global Strategy for Shelter to the Year 2000. This 1993 policy statement<br />

emphasised enablement, the sector's contribution to macroeconomic development, and pro-poor<br />

policies involving subsidies targeted only to the poor where required. It proposed the enablement <strong>of</strong><br />

private housing markets for scaling up housing production and developing the sector as a whole.<br />

Similarly, UNCHS in June 1996 adopted ‘adequate shelter for all and sustainable human<br />

settlements’ in the Habitat II, founding its shelter policies and recommendations on enabling<br />

strategies for private markets (UNCHS 1996a).<br />

Enablement would bring together technical know-how, capacity <strong>of</strong> development agencies, use<br />

available resources, and recognise and define responsibilities <strong>of</strong> all stakeholders, through an<br />

inclusive participatory approach among residents from all strata. The roles <strong>of</strong> each such partner in<br />

the multi-institutional and multi-organisational environment could be guided by the underlying<br />

socio-economic rationale. For example, private enterprises could contribute efficiency and<br />

entrepreneurship, CBOs could mediate between households and government agencies that provide<br />

urban management expertise, and the participants could provide various finances, self-help<br />

resources, and localised relevance in the upgrading efforts (Pugh 2000). These represent a complex<br />

process, with some risks <strong>of</strong> failure due to weak institutions, narrow coterie interests, corruption and<br />

market manipulation found in the developing countries.<br />

Such enablement framework was also relevant to new housing for other income groups too, where<br />

it could supply housing, and builders could access development finance in a competitive market.<br />

Implementation <strong>of</strong> proper land policies by coordinating with the infrastructure and utility agencies<br />

could ensure adequate supplies <strong>of</strong> well-placed ready land at affordable price. The legal system<br />

could protect property rights <strong>of</strong> all, developed finance institutions could introduce attractive<br />

instruments to generate and manage funds. The overall policy and enablement framework could<br />

have pro-poor and egalitarian elements for social-relevance and sustainability.<br />

Enablement brought sustainability in sites-and-services schemes in India, and in the small loan<br />

program in Sri Lanka, Hong Kong, Singapore, and Chile (Pugh 1997) that alleviated their housing<br />

crises. However, most developing countries could not achieve the effectiveness or the<br />

comprehensiveness <strong>of</strong> Chile or Singapore due to poor finance sector and institutions. Most <strong>of</strong> the<br />

countries not meeting the targets due to institutional incapacities could overcome the situation by<br />

enablement.<br />

Thus in the 1990s, it was evident that benefits could not be sustained without good governance<br />

(Rahman 1999). Therefore, within institutional-led reform, ‘enablement’ put governance into<br />

central positions in economic, education, health, environment, housing, urban and other sectors<br />

with a focus upon state–market–society relations. This encouraged community-based, participatory<br />

elements in upgrading the squatter settlements and owning community assets so that processes<br />

were more transparent and accountable and people were enabled to improve themselves (Rahman<br />

1999).<br />

The project-linked participation <strong>of</strong> the Sri Lanka Million Houses program (Lankatilleke 1990) had<br />

planning, design, implementation and maintenance stages. Hamdi and Goethert (1996) identified<br />

planning as crucial for the community and the city to jointly take key decisions and define the<br />

program. Crane (1950) viewed self-help as part <strong>of</strong> a process <strong>of</strong> community development, requiring<br />

and encouraging cooperation. The Recife Declaration on community control over decision-making<br />

_____________________________________________________<br />

* Corresponding Author. Tel.: +6017683404, Fax: +60326934844<br />

E-mail : mmrahman417@gmail.com<br />

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AFFORDABILITY, ENABLEMENT AND SUSTAINABILITY OF LOW-INCOME HOUSING<br />

stressed the importance <strong>of</strong> the integration <strong>of</strong> the informal city. However, the support to community<br />

participation in the 1980s was lost later (Abbot 2002).<br />

The enabling concept has been subject to much debate and criticism for its over-concentration on<br />

the private sector to work, and shunning other modes <strong>of</strong> housing (Keivani & Werna 2001).<br />

5. CONCLUDING DISCUSSIONS<br />

Despite efforts by all, continuously growing squatter settlements occupy a large section in many<br />

cities. 12 These have shown sustainability amidst squalor and disease. The locales for the life's<br />

drama and contributions in huge urban and socio-economic transformations, this has remained a<br />

dominant form <strong>of</strong> dwelling for many decades. These are necessary and important in terms <strong>of</strong> both<br />

product and process, and socio-economic and physical utility (Kellett & Napier 1995). The people<br />

living in these settlements are set in specific institutional conditions and processes that influence<br />

their housing and social status. 13 The intricacy, variety, accomplishment, and resource efficiency in<br />

squatter settlements and built forms also have social, cultural, economic, political, and architectural<br />

implications (Pugh 2000).<br />

Varying in theoretical, economic and technical characters, the role <strong>of</strong> spontaneous and informal<br />

housing in the developing countries urban development was recognised late (Lawrence 1997; Ling,<br />

1997). 14 Assisting self-help programs from 1950s, the funding agencies changed their methods from<br />

site-specific projects to programs mediated through formal institutions, and subsequently to<br />

developing policies, cooperation and participation. Some <strong>of</strong> the projects have also added economic<br />

and <strong>of</strong>ten aesthetic value to urban assets. 15<br />

Crane (1950) attacked the paternalistic thinking, opposing claims that only architects and allied<br />

pr<strong>of</strong>essionals can deal intelligently with housing. Turner (1976b) too condemned architect-designed<br />

low-income public housing for being expensive and authoritarian. Back (1962) and Safa (1964)<br />

found that such regimentation and lack <strong>of</strong> choice were disliked by occupants, whereas self-help<br />

12 Slum population in India has more than doubled in the past two decades; in 2001, 54.1% <strong>of</strong> Mumbaians lived there<br />

(NIHFW, 2006). Dharavi, Asia's second largest slum (Jacobson 2007) in central Mumbai houses 800,000 people (Davis<br />

2006). A quarter <strong>of</strong> Sao Paolo population lives in poor conditions. With more slums dwellers, Kolkata has a higher slum<br />

density. Based on water and sanitation access, 99% <strong>of</strong> Afghan and 94% in Central African Republic people live in slum<br />

condition; even a third <strong>of</strong> the Argentines experience the same. China had nearly 175 mil living in slum conditions, 158 mil<br />

in India, 42 mil. in Nigeria and 36 mil in Pakistan (UNFPA 2007). 327 million people live in slums in Commonwealth<br />

countries - almost one in six <strong>of</strong> its citizens (Comhabitat 2006). In 11 African, 2 Asian and 1 Pacific countries urbanizing<br />

rapidly, over two third urbanites live in slums.<br />

13 The gradually transformed and consolidated Santa Marta settlement, Colombia, is recognised and accepted into the formal<br />

sector. In Durban, spontaneous settlements are juxtaposed near formal settlements, being impermanent and temporarily<br />

linking kith and kin.<br />

14 Self-help construction existed in Roman towns, medieval Europe, and in early periods in the developed countries. Murals<br />

were found in Pompeii on this. The Swedish ‘magic houses’ were built by families in their free times; the local government<br />

provided land, materials and technical advice. In ancient Sri Lanka, self-help housing was the norm in urban settlements,<br />

e.g. Anuradhapura founded in 483 BC.<br />

15 Cross-subsidisation in land pricing and allocation enabled sites-and-services and squatter improvement programs to reach<br />

the poor in the 1970s and 1980s in Chennai. Housing investment and wealth <strong>of</strong> all income groups increased; the<br />

contracting between the World Bank, state government, and the project authorities blended state, market, and household<br />

self-help roles (Pugh 1990a, 1997). In the Kampung Improvement Program, the World Bank provided US$ 439 million in<br />

project loans, to improve living conditions, housing investment, incomes, and health. Some <strong>of</strong> its lessons led to wider<br />

community participation and deeper institutional reforms (World Bank 1995).<br />

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MAHBUBUR RAHMAN<br />

provided a variety <strong>of</strong> social, psychological, and economic advantages that <strong>of</strong>fered a breakthrough in<br />

housing problem (Frankenh<strong>of</strong>f 1967).<br />

Though self help, household economics, affordability, and home sense could describe the roles <strong>of</strong><br />

individuals and households, the economists studied only market exchange value, the design and<br />

impact <strong>of</strong> subsidies, or social questions <strong>of</strong> poverty and inequality (Pugh 1997; Stretton 1976). They<br />

ignored non-economic resources as socio-economic assets, like time and energy used for home<br />

building, domestic chores, income generation, physical improvements, childrearing and human<br />

capital formation, and personal and community activities; most <strong>of</strong> these important aspects <strong>of</strong> lowincome<br />

housing are in deed measurable.<br />

Self help goes beyond the construction and management <strong>of</strong> housing and the environment. The<br />

domestic sector is more sustainable as it uses own resources to produce home-based goods and<br />

services, depending less on imported materials and technology. Those without proper housing lead<br />

diminished and socially excluded lives, unable to participate fully in the community; their further<br />

development depends on access to services and the security <strong>of</strong> a safe and healthy environment. Basic<br />

housing is an ‘entry fee’ providing foothold to subsequently access such other benefits (Peattie 1987).<br />

Market forces and <strong>of</strong>ficial guidance are not enough for developments to meet contemporary<br />

aspirations, rhetoric, commitment or technical possibilities; matters <strong>of</strong> environmental justice are<br />

also involved as proper housing brings social and economic goods (Clark 2001). The domestic,<br />

commercial, and the public sectors are interdependent in bringing overall socio-economic<br />

development <strong>of</strong> the low-income groups. This raises the importance <strong>of</strong> domestic economics in<br />

sustainable development by way <strong>of</strong> affordable housing and environmental improvement, and<br />

supplements other areas by contributing to the human and labour development.<br />

The state is forced to tolerate some illegal and irregular housing (UNCHS 1996c; Gilbert 1990;<br />

Drakakis-Smith 1981); it denies better housing to maintain the status quo. While a few accept<br />

aesthetic <strong>of</strong> squatter settlements, the authorities loath such view (Peattie 1987), which have<br />

influenced housing policies and actions like the demolition <strong>of</strong> shelters and destruction <strong>of</strong><br />

communities. Though all communities have rights to improve their settlement, the legal,<br />

pr<strong>of</strong>essionals and participatory processes may not concur on squatter upgrading. 16<br />

Some politicians, planners, and intellectuals had been sympathetic to the idea that settlements <strong>of</strong> the<br />

poor were communities and deserved respect. For example, Jacobs (1961) articulated the functional<br />

aspects <strong>of</strong> the communities that planners and politicians liked to label slums; it was “slums <strong>of</strong><br />

hope” to Stokes (1963) and others. With the acceptance <strong>of</strong> in situ improvement and regeneration,<br />

self help can stand alongside modern technology in cultural–aesthetic form (Rahman & Mai 2010).<br />

Housing and environment <strong>of</strong> low-income groups can be improved by recognising <strong>of</strong> squatters<br />

housing rights, stable growth <strong>of</strong> income, and the development <strong>of</strong> social capital and empowerment.<br />

Thereon, social, ethical, and aesthetic expressions cover the full range <strong>of</strong> living, and encompass<br />

environmental, social, economic and political facets that encourage people to value lives. Allowing<br />

one to participate and express attachment in a varied socio-political context results in more<br />

commitments to affordable and sustainable improvements— incremental upgrading <strong>of</strong> low-quality<br />

makeshift shacks into wholesome structures.<br />

16 For example, social groups in Jordan strongly contended priorities and access to political and economic power (Raed<br />

1998). The government's attempts at urban renewal in Delhi by the late 1950s ran into resistance and had engendered a<br />

growing recognition that low-income communities had intrinsic value (Clinard 1966).<br />

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AFFORDABILITY, ENABLEMENT AND SUSTAINABILITY OF LOW-INCOME HOUSING<br />

It is essential to implement housing through participatory democracy (UKGP 1998). Local<br />

governments are the only elected representative making accountable planning and development<br />

decisions for the community; this is critical in moving toward sustainable communities (Roseland<br />

2000). Social homogeneity, community leadership, prior social co-operation experience, visible<br />

outcome, prospective ownership and the affordability can help to achieve consensus regarding<br />

development objectives and means (Rahman 1999). Environmental improvements can be converted<br />

into action plans and partnership by distributing responsibilities, attribution <strong>of</strong> costs and self help,<br />

and participatory and transparent management. In essence, both the process and the project need<br />

good governance, organisation, management, and policy (Pugh 2000).<br />

If legitimised and assisted, the large informal sector in most developing countries providing for the<br />

low-income groups can contribute in socio-economic developments (de Soto 1989; Fernandez &<br />

Varley 1998), in conserving economy, construction, environment, and health, and hence beckon for<br />

sustainable improvement. The regeneration schemes are sustainable as these improve living<br />

conditions, providing social opportunities for millions to add more socio-economic and<br />

environmental values than high-pr<strong>of</strong>iled projects. This potential varies with the characters <strong>of</strong> the<br />

squatter settlements. 17 Improvement can take place spontaneously where a form <strong>of</strong> tenure security is<br />

envisioned. Political skills and pressures <strong>of</strong>ten influence the selection <strong>of</strong> improvements and the<br />

distribution <strong>of</strong> costs and benefits among households. State-assisted regenerations <strong>of</strong>ten involve<br />

redesigning and re-aligning lay-outs (Potter & Lloyd-Evans 1998), which disrupts socio-economic<br />

network and identity, instead <strong>of</strong> preserving things <strong>of</strong> value to the target group that is possible only as<br />

part <strong>of</strong> overall housing development and urban macro-spatial planning and stockholders participation.<br />

Unprecedented urban growth in the face <strong>of</strong> increasing poverty and social inequality means that<br />

there will be about 2 billion people living in the slums in 2030 (UNCHS 2007); the MDG urged the<br />

international community to improve the lives <strong>of</strong> a part <strong>of</strong> them. Urbanisation <strong>of</strong> poverty (Whelan<br />

2004) is increasing number <strong>of</strong> underprivileged in urban areas. It is not possible to scale up housing<br />

production to meet the requirements <strong>of</strong> a billion people living in severe housing conditions through<br />

project based policies predominant in developing countries (Tipple 1994; UNCHS 1996a).<br />

International agencies want to replace them, which in themselves were not very successful, with<br />

sustainable housing policies that can work on a national level.<br />

Nobel economic laureates advocated state's welfare roles covering institutional reform, social and<br />

private property rights, and governance quality. They focused on the way the economic ethics and<br />

quality <strong>of</strong> institutions defined as norms, property rights, compliance procedures, etc. influenced<br />

performance in long-term growth. The World Bank prioritised institutional reform, at the heart <strong>of</strong><br />

modern policy interest in governance, in current urban development and policy agendas in the<br />

developing countries (Pugh 2000). Their policies were driven by the drive to balance the tensions<br />

between economic growth, the environment, and social impacts. The three-pronged approach<br />

conceptualised urban development that promoted economic growth, maintained social inclusion and<br />

minimised environmental impact. Most <strong>of</strong> the focus in the literature has been placed on economy and<br />

environment, though sustainable housing is more than just that. The economic sector addressing the<br />

financial aspects <strong>of</strong> social justice, accompanying the environmental sustainability, is an important<br />

17 In cases, the populations have expectations <strong>of</strong> imminent redevelopment, whereas in others de facto occupancy rights seem<br />

secure. Sometimes a settlement generates its own leadership and organizational structures which can be used for<br />

negotiating with politicians and bureaucracies for installing infrastructure. Other settlements either have apathy or<br />

powerlessness.<br />

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MAHBUBUR RAHMAN<br />

element <strong>of</strong> housing, while the environmental limits are an important constraining influence on<br />

economic growth.<br />

Sustainability in housing, viewed as an end in itself, has no meaning. Robinson (2004) argued to<br />

integrate the social dimensions <strong>of</strong> sustainability with the biophysical dimensions; solutions<br />

addressing environmental, social or economic concerns only are insufficient. This required a transdisciplinary<br />

thinking that actively creates synergy, not just summation. Sustainability must also be<br />

integrated across sectors or interests; governments alone have neither the will nor the capability to<br />

accomplish it. Hence the private sector must be involved, supplemented by the monitoring, capacity<br />

building, and alternative service delivery roles by the NGOs.<br />

Sustainable development implies a shift in the capacity <strong>of</strong> individuals, companies and nations to<br />

use rightful resources under favourable legal and economic arrangements. Although conventional<br />

analyses recognise the need for changing the practices, few realise that moving toward a sustainable<br />

society requires more than minor adjustments. Sustainable community development initiatives are<br />

not only interventions, but also learning processes for mobilising positive changes. Changed social<br />

behaviour can prevent a host <strong>of</strong> environmental and related social disasters, to create healthy,<br />

sustainable more pleasant and satisfying communities than today. It emphasises on the efficient use<br />

<strong>of</strong> urban space, minimising the consumption <strong>of</strong> essential natural capital, multiplying social capital,<br />

and mobilising citizens and their governments toward these ends.<br />

Sustainability, “an attack on conventional thinking and practice” (Gibson 2001), and a framework<br />

for thinking about urban futures, provides an alternative with optimism. The global audience has<br />

pinned its hopes on sustainable development to solve the urgent environmental and societal<br />

problems (Roseland 2000). However, the right to affordable secure housing must be severed from<br />

property speculation and economic competition. Though, policies for sustainable housing in<br />

isolation may not overcome the urban problems, without them no solution can be found.<br />

6. REFERENCES<br />

[1.] Abbott, John (2002) An analysis <strong>of</strong> informal settlement upgrading and critique <strong>of</strong> existing<br />

methodological approaches. Habitat International Volume 26, Issue 3, September 2002, pp.<br />

303-315<br />

[2.] Abrams, C. (1964) Housing in the Modern World. Faber & Faber, London.<br />

[3.] ADB (1983) Regional Seminar on Financing Low-Income Housing- summary report. Asian<br />

Development Bank, Manila.<br />

[4.] Agyeman, J., & Evans, B. (Eds.) (1996) Statement <strong>of</strong> Purpose. Local Environment 1(1).<br />

[5.] Angel, S. & Benjamin, S.N. (1976) Seventeen Reasons why the Squatter Problem cannot be<br />

Solved. EKISTICS vol. 41, no. 242, pp. 20-26.<br />

[6.] Atkinson, G.A. (1961) Jobbing builders or Self-help for African housing. Journal <strong>of</strong> African<br />

Administration 13, pp. 46–49.<br />

[7.] Awaal, S. (1982) A Study <strong>of</strong> the Influence <strong>of</strong> the Overseas Workers Remittance on the Land<br />

Market <strong>of</strong> Dhaka. Unpublished Masters Thesis, Human Settlement Division, Asian Institute <strong>of</strong><br />

Technology, Bangkok.<br />

[8.] Back, K.W. (1962) Slums, projects, and people. Social psychological problems <strong>of</strong> relocation in<br />

Puerto Rico, Duke University Press, Durham, NC.<br />

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[9.] Ballet, J., Dubois, J.L. & Mahieu, F.R. (2003) Le développement socialement durable: un<br />

moyen d'intégrer capacités et durabilité. Paper Presented at the Third Conference on the<br />

Capability Approach, University <strong>of</strong> Pavia, 6–9 September, 2003.<br />

[10.] Barbier, E (1988) The Economics <strong>of</strong> Environment and Development. Elgar, Cheltenham.<br />

[11.] Baross, P. & van der Linden, J. (Eds.) (1990) The Transformation <strong>of</strong> Land Supply Systems in<br />

Third World Cities. Avebury, Aldershot.<br />

[12.] Benjamin, S.N. & McCallum, D. (1985) Low-Income Housing in the Third World- broadening<br />

the economic perspective. Institute <strong>of</strong> Technology, Bandung.<br />

[13.] Choguill, C.L. (2007) The search for policies to support sustainable housing. Habitat Int. Vol.<br />

31, Issue 1, pp. 143-149<br />

[14.] Choguill, C.L. (1999) Sustainable Human Settlements: some second thoughts. In: A.F. Foo &<br />

B. Yuen (Eds.), Sustainable cities in the 21st century. The National University <strong>of</strong> Singapore,<br />

Singapore, pp. 131–142.<br />

[15.] Choguill, C. (1987) New Communities for Urban Squatters- lessons from the Plan that failed in<br />

Dhaka, Bangladesh. Plenum Press, NY.<br />

[16.] CIVIS (2003) The Enabling Environment for Housing Finance in Kenya: Shelter Finance for<br />

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73


AHU J. <strong>of</strong> Engineering & Applied Sciences 3 (1) : 75-85 (2010)<br />

© 2009 ALHOSN University<br />

DRILLING PROCESS ROBUST OPTIMIZATION FOR 6061<br />

ALUMINUM USING DESIRABILITY FUNCTIONS<br />

Mahmoud I. Awad 1* , Elsayed Orady 2 , Chenmaya Dandekar 2<br />

1<br />

Industrial Engineering Department, ALHOSN University, P.O. Box: 38722, Abu Dhabi, UAE<br />

2 Industrial and Manufacturing Systems Engineering Department, University <strong>of</strong> Michigan-Dearborn, Dearborn, MI. USA<br />

ABSTRACT: This paper investigates the effect <strong>of</strong> drilling process parameters, such as cutting speed, feed, and peck<br />

angle on the drilled hole quality characterized by surface roughness and burrs’ formation. Empirical models<br />

describing process performance which can be used for prediction are presented. The models for average<br />

performance and variability were used to optimize the roughness and burr using desirability functions.<br />

Keywords: Drilling process, Robustness, Desirability functions<br />

1. INTRODUCTION:<br />

Due to its good mechanical properties such as machinability and low density, Aluminum<br />

is commonly used in a wide range <strong>of</strong> industries and constitutes about 40% <strong>of</strong> all metal-cutting<br />

operations (Hamade and Ismail (2005)). Drilling is a cutting process in which a hole is originated<br />

or enlarged by means <strong>of</strong> a multipoint, fluted, end cutting tool typically aided by cutting fluids.<br />

As the drill is rotated and advanced into the workpiece, material is removed in the form <strong>of</strong> chips<br />

that move along the fluted shank <strong>of</strong> the drill. Chips are produced within the workpiece and move<br />

in direction opposite to axial movement <strong>of</strong> the drill. Although long spiral chips usually result<br />

from drilling, adjustment <strong>of</strong> the feed rate can result in chips with a range <strong>of</strong> shapes and sizes.<br />

Consequently, chip disposal in drilling and the effectiveness <strong>of</strong> cutting fluids are important.<br />

The most two important performance measures used to determine drilling quality are surface<br />

roughness and burr height. Two surface roughness measurements are very common: R<br />

a<br />

and R<br />

q<br />

where R<br />

a<br />

is the arithmetic mean <strong>of</strong> the departures <strong>of</strong> the roughness pr<strong>of</strong>ile from the mean line,<br />

while R<br />

q<br />

measures the maximum departure (See Figure 1). R<br />

a<br />

and R<br />

q<br />

are highly correlated, so<br />

minimizing one <strong>of</strong> them will lead to minimizing the other. R<br />

a<br />

is expressed mathematically as<br />

where l m<br />

denotes cut-<strong>of</strong>f length.<br />

R<br />

l m<br />

1<br />

R<br />

a<br />

f ( y)<br />

dx,<br />

(1)<br />

l<br />

q<br />

q<br />

m<br />

0<br />

R is the RMS parameter corresponding to<br />

<br />

1<br />

l<br />

m<br />

l m<br />

<br />

0<br />

2<br />

f<br />

( y)<br />

dx,<br />

R<br />

a<br />

by<br />

(2)<br />

____________________________________<br />

* Corresponding Author. Tel.: +971 4070585<br />

E-mail : m.awad@<strong>alhosn</strong>u.ae<br />

75


MAHMOUD I. AWAD, ELSAYED ORADY, CHENMAYA DANDEKAR<br />

Figure 1: Surface roughness<br />

Burr is plastically deformed projected material, generated on the part edge during drilling.<br />

Both roughness and burr cause reliability problems and performance degradation especially in precise<br />

assemblies. Burr formation requires additional manufacturing operations with additional cost and<br />

time for disassembly and de-burring. The geometry and drilling process parameters <strong>of</strong> classical<br />

drilling have been well studied over the years and gained more importance lately. For example Pande<br />

and Relekar (1986) have found that feed rate is the most significant factor in the drilling process.<br />

Lauderbaugh (2009) used experimentally verified simulation to predict burr height, force and<br />

temperature for 2024-T351 and 7075-T6 aluminum. He concluded that feed rate, chisel edge to drill<br />

diameter ratio, drill diameter, yield strength and point angle are the most significant parameters<br />

affecting burr height. Pena et al. (2005) proposed a monitoring method, based on internal signals from<br />

spindle torque, to detect non-desired burr formation during drilling operations.<br />

Other researchers investigated tool wear as a function <strong>of</strong> cutting speed and coating material,<br />

see Nouari et al. (2005) and List et al. (2005).<br />

Most <strong>of</strong> the <strong>engineering</strong> applications, including drilling process, would comprise <strong>of</strong> multiple<br />

responses such as surface roughness and burr height. Moreover, variability <strong>of</strong> process or product has<br />

to be minimized and mean has to be optimized. Optimizing multiple responses simultaneously is a<br />

difficult task that has been tackled by many researchers. One <strong>of</strong> the early methods proposed by<br />

Taguchi (1987) used for multi-response optimization advocates the use <strong>of</strong> signal-to-noise ratios<br />

(S/N). This methodology specifically utilizes both experimentation and optimization methods to<br />

determine the system optimum operating conditions to minimize performance variability and<br />

deviation from target value <strong>of</strong> interest. Many detractors such as Box (1988) and Nair (1992)<br />

challenged S/N ratio methodology and question Taguchi choice <strong>of</strong> experimental designs and methods<br />

<strong>of</strong> statistical analysis. Khuri and Conlon (1981) used the generalized distance approach to find the<br />

optimal settings that minimize the distance function over the experimental region. Pignatielo (1993)<br />

used a quadratic loss function to solve the multi-response problem. In this article, a desirability<br />

function method (Deringer & Suich, 1980; Harington, 1965), which transforms the multi-response<br />

problem into a single response problem by maximizing the combined desirability, is used. More<br />

details about desirability method are provided in section 2.2.<br />

In the next section, we review background information on experimental design and optimization<br />

model using desirability function. In section 3, we utilize the above methods in optimizing the<br />

drilling process relative to surface roughness and burr height and its variability’s. Finally, we<br />

conclude the paper with a discussion <strong>of</strong> our findings.<br />

2. BACKGROUND: EXPERIMENTATION AND DESIRABILITY OPTIMIZATION<br />

2.1. Experimental designs<br />

Experimental design is a scientific approach to planning an experiment using statistical<br />

techniques (Montgomery, 1993). The process <strong>of</strong> planning an experiment is performed so that the<br />

76


DRILLING PROCESS ROBUST OPTIMIZATION FOR 6061 ALUMINUM USING DESIRABILITY FUNCTIONS<br />

experimental data collected can be analyzed in order to obtain valid and objective conclusions. In<br />

general, experimental data are subject to experimental errors and statistical approach is the only<br />

objective approach to analyze such data. Three basic principles <strong>of</strong> experimental design that must<br />

be emphasized when designing an experiment are the principles <strong>of</strong> replication, randomization,<br />

and blocking.<br />

Replication is the repetition <strong>of</strong> an experiment. It allows the experimenter to estimate the<br />

experimental error, which is used as a basis for determining whether observed differences in<br />

the data are really statistical differences. In addition, experimenter is usually interested in<br />

estimating the effect <strong>of</strong> different levels <strong>of</strong> experimental factors. More importantly, replication<br />

enables the experimenter to estimate and model variability in terms <strong>of</strong> standard deviation or<br />

variance.<br />

Randomization is an important concept underlying the use <strong>of</strong> statistical methods in<br />

experimental design. It should be <strong>applied</strong> to two aspects <strong>of</strong> the experiment, which are 1) to<br />

randomly allocate the experimental units (e.g. workpiece, material, etc.) to different<br />

experimental settings, and 2) to randomly determine the order in which the individual runs<br />

are to be performed. Statistical methods usually require that the experimental errors be<br />

independently distributed random variables. Randomization helps assuring that this<br />

assumption is met. Furthermore, properly applying randomization would balance out the<br />

effect <strong>of</strong> extraneous factors that may be present.<br />

Blocking is a technique used to increase the precision <strong>of</strong> an experiment’s result. A block is a<br />

portion <strong>of</strong> the experimental units that is more homogenous than the entire set <strong>of</strong> experimental<br />

units. Blocking involves making comparisons among the conditions <strong>of</strong> interest in the<br />

experiment within each block.<br />

2.2 Desirability Models<br />

Derringer and Suich (1980) developed a procedure which can be very useful when several<br />

responses are involved. The method utilizes a desirability function to be maximized in which<br />

practitioners can assign their own priorities and desires on the response values and build it into<br />

the optimization procedure. The method makes use <strong>of</strong> an objective function, D, called the<br />

desirability function and transforms an estimated response into a scale free value (d i ), called<br />

desirability as shown in 3.<br />

Where n is the number <strong>of</strong> responses, and w i is importance <strong>of</strong> the response. The desirable scale<br />

ranges from zero (least desirable) to one (most desirable) and have different forms depending on<br />

the goal <strong>of</strong> responses as shown in Equations 4-6:<br />

(4)<br />

77


MAHMOUD I. AWAD, ELSAYED ORADY, CHENMAYA DANDEKAR<br />

(5)<br />

(6)<br />

Where wt i is a weight factor range from 0.1 to 10 and controls the shape <strong>of</strong> the desirability<br />

function. For example, if wt i =1, desirable scale d i will vary from 0 to 1 in a linear fashion. In this<br />

paper, and without any general loss, the weight factor will be assumed one for all responses.<br />

Taking into account all n responses, clearly one wishes to choose the conditions x for the process<br />

parameters to maximize D. A value <strong>of</strong> D close to 1.0 implies that all responses are in a desirable<br />

range simultaneously.<br />

3. DRILLING EXPERIMENT<br />

Machining processes, in general, have many parameters that significantly affect the<br />

performance <strong>of</strong> the processes. The influences could be on the machine performance, the tool used<br />

to perform the processes, and/or the products produced. In any machining process, like any<br />

production machine, the ultimate goal is to produce high quality products with minimal cost.<br />

The primary objective <strong>of</strong> the drilling experiment conducted in this paper is to establish a<br />

relationship between the quality <strong>of</strong> the machined holes and machining variables. This is because,<br />

to the best <strong>of</strong> the authors’ knowledge, there is no relationship (i.e. empirical or physics models)<br />

that has been established for predicting the quality <strong>of</strong> drilled holes by using the machining<br />

parameters.<br />

In general, machining processes have numerous parameters. Some parameters related to the<br />

machine such as machine dynamics and accuracy, other parameters related to the tool such as the<br />

ability <strong>of</strong> the tool to perform a cut with certain cutting conditions, and finally parameters related<br />

to the workpieces such as the mechanical and physical properties <strong>of</strong> the workpiece materials, and<br />

the geometry <strong>of</strong> the workpiece. For the drilling process in particular, there are many methods<br />

used to produce a hole. The first step is to machine a center for the hole using combination center<br />

tool. The depth <strong>of</strong> the center is a function <strong>of</strong> the diameter <strong>of</strong> the hole. Depending on the diameter<br />

and length <strong>of</strong> the hole, the procedure to produce the hole varies. The diameter <strong>of</strong> the hole could<br />

be machined using a drill with the same diameter, or the hole could be machined in two or more<br />

78


DRILLING PROCESS ROBUST OPTIMIZATION FOR 6061 ALUMINUM USING DESIRABILITY FUNCTIONS<br />

drilling sequences by using drills with different sizes to reach the desired diameter <strong>of</strong> the hole.<br />

On the other hand, depending on the depth <strong>of</strong> the hole, it could be drilled in one sequence or one<br />

tool feed, or using peck procedure.<br />

3.1 Experimentation Design<br />

In order to limit the number <strong>of</strong> experimental factors to a manageable number, three cutting<br />

parameters were selected as controllable experimental factors. These include cutting speed, feed,<br />

and peck. Regarding the range <strong>of</strong> the input variables, the cutting speed and feed for the selected<br />

tool and workpiece pair materials were determined using the Machinery’s Handbook.<br />

Several experimental designs were considered such as full factorial, fractional, Taguchi<br />

orthogonal arrays, and regression models. Since our prime goal is to construct an empirical<br />

model, regression designed experiments with number <strong>of</strong> levels equal to number <strong>of</strong> runs were<br />

chosen. The other designs are rigid in terms <strong>of</strong> number <strong>of</strong> levels. More levels tested empower the<br />

model in capturing any non-linearity if exist.<br />

Six <strong>of</strong> 6"<br />

4" 1"<br />

workpieces were cut from a 6-foot long 6061 Aluminum bar. Each workpiece<br />

was drilled 15 times. Since the objective <strong>of</strong> the experiment is to construct an empirical prediction<br />

model, each drilling parameters was not treated as fixed effect factors, but was treated as<br />

continuous variables. The drilling parameters (speed, feed and peck length) were randomly<br />

generated from its input range using the Random function in Excel “rand()” to drill 15 holes in<br />

each workpiece. Two blocks <strong>of</strong> parameter values for the drilling process were randomly<br />

generated as shown in Table 1.<br />

Table 1: Two blocks <strong>of</strong> parameter values for the drilling process<br />

Standard Order Block Cutting speed (S)<br />

(fpm)<br />

Feed (f)<br />

(ipr)<br />

Peck depth (P)<br />

(in.)<br />

1 1 364 0.007 0.75<br />

2 1 329 0.004 0.086<br />

3 1 252 0.003 0.066<br />

4 1 308 0.005 0.1<br />

5 1 208 0.008 0.1<br />

6 1 287 0.006 0.4<br />

7 1 275 0.008 0.79<br />

8 1 377 0.007 0.55<br />

9 1 366 0.001 0.64<br />

10 1 253 0.004 0.07<br />

11 1 364 0.006 0.33<br />

12 1 361 0.010 0.85<br />

13 1 315 0.006 0.5<br />

14 1 341 0.009 0.9<br />

15 1 225 0.001 0.05<br />

16 2 278 0.005 0.138<br />

17 2 214 0.005 0.65<br />

18 2 273 0.008 0.53<br />

19 2 216 0.003 0.72<br />

20 2 336 0.006 0.16<br />

21 2 204 0.005 0<br />

22 2 391 0.002 0.35<br />

79


MAHMOUD I. AWAD, ELSAYED ORADY, CHENMAYA DANDEKAR<br />

23 2 358 0.007 0.53<br />

24 2 370 0.003 0.6<br />

25 2 208 0.0075 0.23<br />

26 2 331 0.009 0.1<br />

27 2 305 0.0052 0.38<br />

28 2 274 0.0068 0.1<br />

29 2 239 0.0066 0.67<br />

30 2 294 0.003 0.5<br />

The Six workpieces were randomly divided into two sets <strong>of</strong> three workpieces, where each set<br />

received a random selection <strong>of</strong> a parameter set, and the three workpieces in each set served as<br />

replications for each parameter set. Two CNC programs were developed and loaded in the<br />

machine (Fadal TRM Vertical milling machine) to perform the drilling process using six-half<br />

inch Coated-HSS twist drills.<br />

3.2 Experimentation Results<br />

The response variables are measured using a Mitutoyo Surftest 402 and a Surftest Analyzer.<br />

The surface roughness measurements Ra<br />

were obtained using proper scale and resolution. The<br />

burr heights were measured using a dial indicator with 0.001 inch resolution. For each hole, two<br />

measurements were carried out for each <strong>of</strong> the surface roughness parameters and four<br />

measurements were taken for the burr heights. Results are shown in Appendix I. Both means <strong>of</strong><br />

Ra and Burr (Ra mean , Burr mean ), along with standard deviations (Ra STDE , Burr STDE ) are calculated<br />

for each run. The responses were consequently expressed in form <strong>of</strong> regression equations as<br />

follows:<br />

(7)<br />

The analysis <strong>of</strong> variance (ANOVA) is summarized in tables 2-5:<br />

Table 2. Response Surface Regression: Ra mean<br />

Term Coefficient SE Coef T P<br />

Constant 329.1 51.14 6.435 0.000<br />

f 2470.7 3947.5 0.626 0.538<br />

S -0.6 0.18 -3.291 0.003<br />

P -300.4 101.40 -2.963 0.007<br />

P 2 100.6 65.46 1.537 0.138<br />

f P -13522.0 7292.43 -1.854 0.077<br />

S P 1.0 0.33 3.041 0.006<br />

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DRILLING PROCESS ROBUST OPTIMIZATION FOR 6061 ALUMINUM USING DESIRABILITY FUNCTIONS<br />

Table 3. Response Surface Regression: Ra STDE<br />

Term Coefficient SE Coef T P<br />

Constant 92.5 31.53 2.934 0.007<br />

f 5581.3 2388.15 2.337 0.028<br />

S -0.4 0.11 3.251 -0.003<br />

P -107.0 52.52 -2.038 0.053<br />

f P -13949.3 4349.02 -3.207 0.004<br />

S P 0.6 0.20 3.215 0.004<br />

Table 4. Response Surface Regression: Burr mean<br />

Term Coefficient SE Coef T P<br />

Constant 0.050 0.013 3.978 0.001<br />

f -8.325 2.633 -3.162 0.004<br />

P 0.008 0.010 0.880 0.388<br />

f 2 319.409 163.113 1.958 0.062<br />

f S 0.010 0.008 1.262 0.220<br />

f P -1.557 1.623 -0.959 0.347<br />

Table 5. Response Surface Regression: Burr STDE<br />

Term Coefficient SE Coef T P<br />

Constant 0.00364 0.00409 0.889 0.382<br />

f -0.97956 0.31322 -3.127 0.004<br />

S 0.00003 0.00001 2.027 0.053<br />

P -0.01071 0.00972 -1.102 0.281<br />

P 2 0.01267 0.00964 1.315 0.200<br />

Although the main effect <strong>of</strong> feed (f) is not significantly impacting Ra, the interaction <strong>of</strong> feed<br />

and peck (fP) and the interaction <strong>of</strong> speed and peck (fS) are significant. All variables and their<br />

interactions impacted the standard deviation <strong>of</strong> Ra.<br />

On the other hand, feed was the only factor impacted burr mean significantly. Both feed and speed<br />

impacted the standard deviation <strong>of</strong> burr.<br />

3.3 Desirability Optimization<br />

In this multi-objective optimization problem, four different objectives were selected to be<br />

optimized: Ra mean, Ra standard deviation, Burr height mean, and Burr height standard deviation.<br />

The goal <strong>of</strong> all <strong>of</strong> the four objectives is the lower the better (LTB), i. e. minimization. In multiresponse<br />

optimization desired importance is given to all the responses. It’s the author’s point <strong>of</strong> view<br />

that Burr is more important than surface finish. Table 6 shows the range <strong>of</strong> the responses, goals,<br />

weights, and importance assigned to each response.<br />

Table 6. Response goals<br />

Term Lower Target Upper Weight Importance<br />

Ra mean (micro inch) 120 120 200 1 1<br />

Ra STDE (micro inch) 0 10 20 1 1<br />

Burr mean (inch) 0 0 0.04 1 8<br />

Burr STDE (inch) 0 0.001 0.005 1 1<br />

81


MAHMOUD I. AWAD, ELSAYED ORADY, CHENMAYA DANDEKAR<br />

In addition to response goals, there are some constraints that limit the search space in the<br />

considered optimization problem to the allowed ranges for the process parameters given by the<br />

validity range <strong>of</strong> the experimental models.<br />

Minitab S<strong>of</strong>tware was used to search for the optimal solution using desirability functions<br />

considering the process parameters constraints, the optimal solution is summarized in Figure 2.<br />

Optimal<br />

D<br />

High<br />

Cur<br />

0.81476 Low<br />

Composite<br />

Desirability<br />

0.81476<br />

Ra_mean<br />

Minimum<br />

y = 127.0951<br />

d = 0.91131<br />

Burr_mea<br />

Minimum<br />

y = 0.0094<br />

d = 0.76497<br />

Ra_sigma<br />

Targ: 10.0<br />

y = 9.8466<br />

d = 0.98466<br />

f S P<br />

0.0107 391.0 1.0<br />

[0.0096] [324.8889] [0.5688]<br />

0.0011 204.0 0.0513<br />

Burr_sig<br />

Targ: 0.0010<br />

y = 0.0010<br />

d = 0.99822<br />

Figure 2: Optimization results<br />

The results indicate that feed should be set at a value closer to the maximum value (0.0096),<br />

high speed (324.9), and intermediate peck angle value (0.57). Setting the drilling process at these<br />

values is expected to provide an acceptable results relative to the desired targets set in Table 6. For<br />

example, the optimal settings will result in a surface roughness <strong>of</strong> 127micro inch which is acceptable<br />

compared to the target which is 120 micro inch. Similarly, the optimal settings resulted in a burr<br />

mean <strong>of</strong> 0.0094 inch which is acceptable compared to the zero burr height target.<br />

4. DISCUSSION AND CONCLUSION:<br />

To verify the results obtained in the previous section, several confirmation runs were<br />

conducted with the optimal settings. Figures 3 and 4 depict the results <strong>of</strong> the confirmation runs <strong>of</strong> Ra<br />

and burr height in the form <strong>of</strong> a boxplot respectively with confidence intervals <strong>of</strong> the means. A t-test<br />

<strong>of</strong> t Ra mean was conducted where (H 0 : Ra_ave = 127, vs H a : Ra_ave 127). The results indicated<br />

that there is no sufficient evidence to reject the null hypothesis with a p-value <strong>of</strong> 0.124. Similarly, a t-<br />

test for burr height was conducted (H 0 : Burr_ave = 0.0094, vs H a : Burr_ave 0.0094) and indicated a<br />

lack <strong>of</strong> evidence to disprove H 0 with a p-value <strong>of</strong> 0.053. Although the roughness and burr means<br />

were close to the predicted values, the standard deviations <strong>of</strong> both responses were <strong>of</strong>f. The standard<br />

deviation <strong>of</strong> the confirmation runs indicated a standard deviation <strong>of</strong> 22 micro inch (predicted =10<br />

82


DRILLING PROCESS ROBUST OPTIMIZATION FOR 6061 ALUMINUM USING DESIRABILITY FUNCTIONS<br />

micro inch) for Ra and 0.0033 inch (predicted =0.001inch) for burr height. The inaccuracy <strong>of</strong><br />

variability prediction for Ra and burr height is due to the nature <strong>of</strong> the responses. <br />

Figure 3 Boxplot <strong>of</strong> Ra confirmation runs with 95% confidence interval<br />

Ho<br />

_<br />

X<br />

0.0050<br />

0.0075<br />

0.0100<br />

Burr height<br />

0.0125<br />

0.0150<br />

0.0175<br />

Figure 4 Boxplot <strong>of</strong> burr height confirmation runs with 95% confidence interval<br />

Other variables may influence the quality <strong>of</strong> drilled hole such as tool wear, cutting forces (torque<br />

and thrust force) and machine and fixture rigidity. These factors were not included in the<br />

conducted experiments and can be added in future research. In this study two measures <strong>of</strong> the<br />

hole quality were included, namely; burr height and surface roughness. However, there are other<br />

quality measures that can be included in the model to describe the hole quality in more<br />

comprehensive manner. These measures may include circularity (roundness), cylindericity, and<br />

center position.<br />

The optimization scheme proposed in this research simultaneously optimizes both the mean and<br />

standard deviation for multiresponse system design problems. The proposed method incorporates<br />

noise factors within the experimentation phase in order to determine the settings <strong>of</strong> the control<br />

factors to create response models that are insensitive to internal or external noise. The proposed<br />

approach also uses a nonlinear programming technique to model a multiresponse problem as a<br />

single objective function using a desirability index. Highest desirability could be obtained at<br />

high level <strong>of</strong> feed, high speed, and an intermediate peck. Using desirability functions, both targets<br />

were achieved simultaneously and different importance levels were assigned to responses.<br />

5. REFERENCES<br />

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[19.] Pan, H.L., Orady, E, and Chen, Y. (1994). "Tool Useful Life Evaluation and Monitoring by<br />

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DRILLING PROCESS ROBUST OPTIMIZATION FOR 6061 ALUMINUM USING DESIRABILITY FUNCTIONS<br />

APPENDIX I:<br />

Ra (micro inch)<br />

Burr Height (inches)<br />

Standard<br />

Order<br />

Hole<br />

No.<br />

Drilling<br />

order 1 2 3 Ra_mean Ra_STDE 1 2 3 Burr_M Burr_STDE<br />

1 1 7 140.0 142.5 113.0 131.8 16.4 0.01575 0.01880 0.03050 0.02168 0.00779<br />

2 2 9 146.0 134.5 145.0 141.8 6.4 0.01075 0.01338 0.01238 0.01217 0.00132<br />

3 3 5 173.0 153.5 126.5 151.0 23.4 0.00750 0.00975 0.01250 0.00992 0.00250<br />

4 4 15 220.0 205.0 175.0 200.0 22.9 0.04613 0.03113 0.04200 0.03975 0.00775<br />

5 5 14 133.0 129.5 131.5 131.3 1.8 0.00763 0.01240 0.01325 0.01109 0.00303<br />

6 6 2 138.0 122.0 156.0 138.7 17.0 0.00875 0.01700 0.00625 0.01067 0.00563<br />

7 7 11 163.0 151.0 159.0 157.7 6.1 0.01925 0.01425 0.04850 0.02733 0.01850<br />

8 8 6 123.0 131.0 131.0 128.3 4.6 0.00950 0.01038 0.01250 0.01079 0.00154<br />

9 9 1 115.0 110.0 185.0 136.7 41.9 0.01625 0.03400 0.04975 0.03333 0.01676<br />

10 10 8 171.0 165.0 157.0 164.3 7.0 0.01425 0.00893 0.01163 0.01160 0.00266<br />

11 11 10 145.0 129.5 123.5 132.7 11.1 0.00800 0.00875 0.01595 0.01090 0.00439<br />

12 12 3 115.0 128.0 121.5 121.5 6.5 0.01125 0.01300 0.01100 0.01175 0.00109<br />

13 13 4 135.0 142.0 119.0 132.0 11.8 0.00950 0.01613 0.01425 0.01329 0.00341<br />

14 14 12 135.5 127.0 153.0 138.5 13.3 0.00775 0.00775 0.01195 0.00915 0.00242<br />

15 15 13 152.5 119.5 113.5 128.5 21.0 0.01425 0.02425 0.01750 0.01867 0.00510<br />

16 1 9 167.0 117.0 146.0 143.3 25.1 0.01500 0.00375 0.01063 0.00979 0.00567<br />

17 2 6 143.0 152.0 167.0 154.0 12.1 0.01513 0.01350 0.02063 0.01642 0.00373<br />

18 3 5 180.5 210.0 210.0 200.2 17.0 0.02150 0.03263 0.01775 0.02396 0.00774<br />

19 4 10 201.0 200.0 220.0 207.0 11.3 0.01950 0.01288 0.01175 0.01471 0.00419<br />

20 5 11 148.0 350.0 270.0 256.0 101.7 0.00988 0.00963 0.00725 0.00892 0.00145<br />

21 6 8 199.0 148.0 144.5 163.8 30.5 0.00988 0.01050 0.01175 0.01071 0.00095<br />

22 7 3 143.0 142.0 148.0 144.3 3.2 0.00550 0.00625 0.01050 0.00742 0.00270<br />

23 8 2 138.0 107.0 133.0 126.0 16.6 0.01675 0.00850 0.01213 0.01246 0.00414<br />

24 9 7 159.0 185.5 245.0 196.5 44.0 0.02638 0.01700 0.02618 0.02318 0.00536<br />

25 10 12 159.0 153.0 176.0 162.7 11.9 0.02080 0.01900 0.02100 0.02027 0.00110<br />

26 11 1 157.5 193.0 177.5 176.0 17.8 0.00925 0.01250 0.01400 0.01192 0.00243<br />

27 12 14 149.0 152.0 153.0 151.3 2.1 0.00713 0.00775 0.00900 0.00796 0.00095<br />

28 13 4 130.5 139.0 133.0 134.2 4.4 0.00963 0.01200 0.01300 0.01154 0.00173<br />

29 14 13 132.5 155.0 151.0 146.2 12.0 0.03038 0.00675 0.00750 0.01488 0.01343<br />

30 15 15 165.5 202.0 186.5 184.7 18.3 0.02970 0.03850 0.01563 0.02794 0.01154<br />

85


AHU J. <strong>of</strong> Engineering & Applied Sciences 3 (1) : 87-105 (2010)<br />

© 2009 ALHOSN University<br />

NEIGHBORHOOD DESIGN AND WALKABILITY:<br />

A SYNTHESIS FROM PLANNING, DESIGN,<br />

TRANSPORTATION AND<br />

ENVIRONMENTAL HEALTH FIELDS<br />

Mohamad Kashef *<br />

Department <strong>of</strong> Architecture, ALHOSN University, P.O Box 38772, Abu Dhabi, UAE<br />

ABSTRACT: This study develops a nuanced understanding <strong>of</strong> issues related to neighborhood design and<br />

walkability, which received increased attention over the last two decades. It examines a broad range <strong>of</strong><br />

environmental health, transportation, and design/planning studies. The study argues that the bulk <strong>of</strong> published<br />

empirical research relied on statistical tools that measured the design ingredients rather than the morphological and<br />

spatial structures that enhance walkability. The qualitative design aspects <strong>of</strong> built environments were hardly<br />

translated to quantifiable variables in much <strong>of</strong> the reviewed empirical research. This paper highlights critical<br />

configurational and space syntax dynamics that complement the current understanding <strong>of</strong> neighborhood design and<br />

walkability. It opens the door for further cross disciplinary research aimed at understanding and potentially<br />

optimizing the relationship between urban form and pedestrian movement.<br />

1. INTRODUCTION<br />

This study engages the planning and urban design literature as well as transportation and<br />

environmental health fields to develop an interdisciplinary understanding <strong>of</strong> issues related to<br />

neighborhood design and walkability. It examines intellectual diversion and/or conversion<br />

between environmental health studies, designers/planners narratives, and transportation analyses.<br />

Over the last four or five decades, various design and planning publications called for reviving<br />

traditional built forms and reintroducing mixed uses to enhance walkability and urban vitality<br />

(Jacobs [53]; Alexander [4]; Rowe et al [81]; Krier [58]; Trancik [90]; Barnette [10]). The New<br />

Urbanists also expressed a renewed interest in traditional spatial configurations and building<br />

typologies. They contended that fine-grain connected urban blocks, mix <strong>of</strong> uses, and attention to<br />

architectural details such as sidewalks, porches, and visual stimuli can encourage walking,<br />

bilking, and civic engagement. The presumption is that technological and functional imperatives<br />

<strong>of</strong> the dispersed metropolis did not change the basic human desire for well-designed<br />

neigborhoods that support residents’ daily needs within a five-minute walking distance (Duany et<br />

al [24]; Katz [56]; Dutton [26]). A host <strong>of</strong> recent empirical (statistically-supported)<br />

investigations from the public and environmental health fields, on the other hand, pointed to the<br />

lack <strong>of</strong> causality between neigborhood design and walkability. Most <strong>of</strong> these studies noted that<br />

certain neigborhood types with design features such as connected sidewalks, architectural variety,<br />

etc. are positively correlated with walking and biking. They generally explained such associations<br />

in terms <strong>of</strong> the market self-selection process, i.e., people who like walking and biking commonly<br />

choose to live in places that support their way <strong>of</strong> life (Cervero et al [19]; Atkinson et al [5]; Reed<br />

et al [79]; Oaks et al [72]; Lovasi et al [65]; Nagel et al [70]).<br />

This paper argues that the bulk <strong>of</strong> published empirical research relied on statistical tools that<br />

measured the design ingredients rather than the morphological and spatial structures that enhance<br />

____________________________________<br />

* Corresponding Author. Tel.: +971 4070511<br />

E-mail : m.kashef@<strong>alhosn</strong>u.ae<br />

87


MOHAMMED KASHEF<br />

walkability. The paper highlights shortcomings <strong>of</strong> statistically-supported research in capturing<br />

the essence <strong>of</strong> qualitative design values and transforming them into measurable study variables.<br />

Critical configurational and syntactical dynamics (Hiller [51], [49], [48]; Bafna [7]; Peponis et al<br />

[74]; Baran et al [9]) were not considered in measuring the cause and effect relationship between<br />

design and walkability. The paper is organized into three major parts: the first part reviews the<br />

evidence from environmental health fields; the second part encompasses the results from<br />

planning, design and transportation studies; the paper concludes with a discussion that<br />

synthesizes the evidence and provides an interdisciplinary perspective that potentially benefits<br />

public policy debates regarding land use and subdivision regulations that support walking and<br />

biking.<br />

2. ENVIRONMENTAL AND PUBLIC HEALTH STUDIES<br />

These comprise a broad range <strong>of</strong> empirical investigations within health related disciplines such as<br />

public health, nutrition, exercise physiology, epidemiology, and preventive medicine, among<br />

several others. They addressed the nexus between walking and neigborhood design from a variety<br />

<strong>of</strong> perspectives that consider objective and perceived built environments, personal attitudes and<br />

behavior, safety (real and perceived), environmental constraints, purpose (leisure or<br />

work/shopping related nonmotorized travel, as well as health and lifestyle characteristics). The<br />

presence <strong>of</strong> sidewalks is <strong>of</strong>ten touted by the New Urbanism as an important environmental<br />

resource that supports walking in neigborhoods (Calthorpe et al [16]; Fulton [35]; Duany et al<br />

[24], [25]; Katz [56]). The evidence from health studies regarding the impact <strong>of</strong> sidewalks on<br />

physical activity and walking in general is mixed. The following discussion articulates the<br />

findings <strong>of</strong> health studies under three themes or headlines: walking behavior and design,<br />

sidewalks, and street connectivity. These themes are not mutually exclusive; there is a great deal<br />

<strong>of</strong> overlap and such articulation is merely <strong>of</strong>fered as an organizational framework for the large<br />

amount <strong>of</strong> data addressed below.<br />

2.1 Walking Behavior and Design<br />

In an attempt to predict walking behavior, Ryan Rhodes et al [80] integrated personality, the<br />

perceived environment, and time planning into a framework called “TPB” (theory <strong>of</strong> planned<br />

behavior). The study included various measures for personality traits, actual walking,<br />

neigborhood geography (sidewalks, architecture, aesthetics, etc.), and attitudes towards outdoor<br />

physical activity for leisure purposes. Research instruments were administered to 358 residents <strong>of</strong><br />

British Columbia, Canada. The study model provided evidence that leisure-time walking is<br />

largely intention based behavior with an additional independent contribution from physical<br />

proximity and accessibility <strong>of</strong> neigborhood retail and recreation facilities. As shown in the<br />

adapted model diagram (Fig. 1), neigborhood design and aesthetics impact walking but only<br />

through mediating intention based variables that include attitudes and other social cognitive<br />

constructs. In that sense, the environment provides infrastructure support but is not the cause for<br />

walking per se. Notable among the results <strong>of</strong> this study is the impact <strong>of</strong> proximity <strong>of</strong> parks to<br />

homes. Individuals who are habitually active and lived at a reasonable walking distance from<br />

recreation venues were more inclined to walk (Rhodes et al [80]). Proximity <strong>of</strong> homes to exercise<br />

facilities was also positively correlated with the frequency <strong>of</strong> exercise among San Diego residents<br />

(Sallis et al [82]). These results are <strong>of</strong> particular significance to community planning practice. It<br />

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NEIGHBOURHOOD DESIGN AND WALKABILITY<br />

shows that adding destinations <strong>of</strong> interest and recreation venues can promote walking among<br />

active residents and help close the intention-walking/activity gap.<br />

Mixed-Use<br />

Affective<br />

Attitude<br />

Design<br />

Elements<br />

Intention<br />

Walking<br />

Instrumental<br />

Attitude<br />

Aesthetics<br />

Figure 1. Perceived environment and theory <strong>of</strong> planned behavior model to predict walking<br />

(Adapted from: Rhodes et al [80])<br />

2.2 Sidewalks<br />

Sidewalk availability did not figure as a prominent indicator <strong>of</strong> physical activity among residents<br />

<strong>of</strong> different neigborhoods in Washington State. Objectively measured built environment<br />

characteristics including sidewalks within a mile from research participants’ homes accounted for<br />

only one percent <strong>of</strong> residents’ total physical activity (Lovasi et al [65]). Research conducted in<br />

Portland, Oregon (fifty-six neigborhoods) yielded similar results. Findings did not suggest that<br />

built environment plays a significant role in the walking and physical activity <strong>of</strong> older adults.<br />

Results were consistent with previous studies in which sidewalk presence and neighborhood<br />

aesthetics were associated with increased physical activity among active residents who habitually<br />

walk (Nagel et al [70]; Atkinson et al [5]). In a stark contrast with previous results, the findings<br />

<strong>of</strong> some other studies pointed to positive associations between the perceived presence <strong>of</strong><br />

neighborhood sidewalks and physical activity behaviors (Ainsworth et al [2]; Addy et al [1]; Lee<br />

et al [61]). These findings were significant because research participants were classified as<br />

irregular walkers, namely, white older adults and African American women. This, in a sense,<br />

substantiates the New Urbanists’ claims regarding the impact <strong>of</strong> neigborhood design on walking<br />

behavior.<br />

Various studies reported that both objective and subjective characteristics <strong>of</strong> the built<br />

environment were correlated with walking, cycling, and outdoor physical activity in general.<br />

Objectively measured correlates included the physical quality <strong>of</strong> walking routes and the presence,<br />

type, and geographic proximity <strong>of</strong> destinations such as retail shops, parks, and other recreation or<br />

cultural facilities. Subjective variables included the perception <strong>of</strong> safety (traffic and crime<br />

related), the convenience <strong>of</strong> neigborhood services, and the perceived visual quality <strong>of</strong><br />

neigborhood landscape and architecture (Moudon et al [69]; McCormack et al [67]; Boehmer et<br />

89


MOHAMMED KASHEF<br />

al [11]; Lesliea et al [62]; Geus et al [36]). Using a multi-stage sampling design and existing GIS<br />

databases, Li et al (2005) surveyed all neigborhoods in Portland, Oregon (521, 121 people) and<br />

reported positive associations between urban form and walking activity. Places with mixed-use<br />

and higher levels <strong>of</strong> green and open spaces were significantly associated with increased walking<br />

activity. The results <strong>of</strong> the latter surveys were noteworthy because findings showed that variation<br />

in walking activity across neigborhoods was accounted for by environmental characteristics.<br />

2.3 Street Connectivity<br />

Street connectivity also emerged as an important attribute <strong>of</strong> walkable neigborhoods. This is a<br />

measure <strong>of</strong> the accessibility achieved by having smaller blocks (less than 1000 feet long) and<br />

ease <strong>of</strong> movement between developed blocks without being obstructed by dead-ends. A<br />

connectivity index is commonly derived by dividing the number <strong>of</strong> roadway links by the number<br />

<strong>of</strong> roadway intersections and nodes (cul-de-sacs included). A higher number indicates a wellconnected<br />

street system (Ewing, 1996). Data from Metropolitan Atlanta’s region, Oakland, New<br />

Zealand, and Perth, Australia showed a significant correlation between increased levels <strong>of</strong><br />

outdoor physical activity among adults and well-connected streets, continuous pedestrian<br />

sidewalk network, and mix <strong>of</strong> land uses (Frank et al [33]; Badland et al [6]; Chin et al [20]).<br />

Proximity <strong>of</strong> workplace and commercial destinations was highlighted by some studies as<br />

significant contributors to total transport-related walking. It was estimated that individuals who<br />

regularly walk to work would approximately accumulate 166 weekly minutes <strong>of</strong> walking, which<br />

meets health guidelines for adults (Cerin et al [18]). Residents <strong>of</strong> mixed-use high walkability<br />

neigborhoods reported 70 more minutes <strong>of</strong> physical activity per week than did residents <strong>of</strong> singlefamily<br />

low-walkability neigborhoods. They also had lower obesity prevalence after adjusting for<br />

individual demographics (Saelens et al [83], [84]).<br />

Neighborhood design and aesthetics figured prominently in other studies as conducive to active<br />

aging, enhanced walkability, and higher perception <strong>of</strong> safety and sense <strong>of</strong> community (Michael et<br />

al [68]; Leyden [63]; Wood et al [92]). This again substantiates some <strong>of</strong> the New Urbanists’<br />

claims regarding the impact <strong>of</strong> Physical elements such as building aesthetics, streetscapes, vistas,<br />

porches, etc. on to the livability and vitality <strong>of</strong> neigborhoods. Such elements are frequently cited<br />

in the New Urbanism literature as the building blocks <strong>of</strong> communities. They have the potential <strong>of</strong><br />

enhancing social interaction and hence igniting the culture <strong>of</strong> community. The New Urbanists<br />

generally contend that reinstating the traditional morphology <strong>of</strong> street and civic architecture can<br />

contribute to restoring the lost sense <strong>of</strong> place and reviving many long-gone communal practices.<br />

At present, suburban patterns are completely dependent on the private automobile and lack the<br />

basic ingredients conducive to collective social and cultural dynamics (Duany [24; Katz [56];<br />

Calthorpe [16], [17]; Kelbaugh [57]). Rob Boer et al [58] adopted the Smart Scorecard developed<br />

by the New Urbanism (Fleissig et al, 2002) as a research instrument to assess the impact <strong>of</strong><br />

neigborhood design on walking trips in ten U.S. metropolitan areas. The Smart Scorecard<br />

evaluates various built environment measures such as density, mix <strong>of</strong> uses, street network<br />

connectivity, block sizes, diversity, landscape, etc. Based on data analysis from the 2000 U.S.<br />

census, the study indicated that only three <strong>of</strong> the ten critical components <strong>of</strong> the Smart Scorecard<br />

were found to be associated with walking, namely: accessibility and mobility choices<br />

(connectivity), compactness (density), and mix <strong>of</strong> uses (Boer et al [12]).<br />

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NEIGHBOURHOOD DESIGN AND WALKABILITY<br />

2.4 Summarizing the Results <strong>of</strong> Health Studies<br />

It seems that health-related studies <strong>of</strong>fer more evidence on the positive side <strong>of</strong> association<br />

between built environment and walkability. However, the findings <strong>of</strong> these studies were largely<br />

based on cross-sectional data. Most <strong>of</strong> the positive associations were derived from respondents<br />

perceived or subjective characterizations <strong>of</strong> the built environment. Almost none <strong>of</strong> the reviewed<br />

health studies claimed to have identified causal linkages between environmental attributes and<br />

physical activity; study results could not attest to whether the criteria <strong>of</strong> time precedence and nonspuriousness<br />

were established. Self-selection always figured in study limitations and caveats as a<br />

possible explanation for the positive associations <strong>of</strong> neighborhood design and walkability; people<br />

who walk regularly choose neighborhood environments that promote walkability and not vice<br />

versa.<br />

Two very recent studies with quasi-longitudinal design provided contradictory evidence. Handy<br />

et al [45] pointed to a causal linkage between neigborhood environment and physical activity.<br />

Wells et al [91], on the other hand, asserted that neigborhood features alone such as sidewalks,<br />

front porches, small set-back distances, and aesthetics may not be enough to affect walking.<br />

Residents <strong>of</strong> New Urbanism neigborhoods did not walk significantly more than those living in<br />

conventional suburbs (Wells et al [91]). Research findings from the Health field did not provide a<br />

definitive answer as to the relationship <strong>of</strong> walkability and neighborhood design one way or the<br />

other. The only possible recommendation out <strong>of</strong> health studies is that neighborhood design does<br />

affect the opportunities for walkability; it has the potential to enhance nonmotorized forms <strong>of</strong><br />

travel, especially for a select group <strong>of</strong> physically active individuals. The following part <strong>of</strong> the<br />

paper examines the evidence from the design, planning, and transportation fields. While studying<br />

similar constructs, the approach in most <strong>of</strong> these studies varies from health studies.<br />

Transportation and some planning studies generally adopt quantitative methodologies with a<br />

variety <strong>of</strong> measuring devices that include structural equations, systems analysis, computer<br />

modeling and simulation, etc. Other planning and design studies are qualitative in nature, at times<br />

intuitive, and provide rich historiography and in-depth narratives about cities, communities, and<br />

the forces that shape them.<br />

3. TRANSPORTATION AND PLANNING/DESIGN STUDIES<br />

There is a great deal <strong>of</strong> overlap between planning, design, and transportation studies, especially in<br />

regard to the impact <strong>of</strong> design on physical activity. Transportation studies focus more on travel<br />

related issues such as modal split, traffic management and safety, as well as street network<br />

optimization. Planning and design fields, on the other hand, capitalize on the data produced by<br />

transportation studies to establish connections between neigborhood architecture, street network<br />

integration, walkability, and sociability. Transportation and planning issues are inextricably<br />

linked, which may not allow addressing them separately. The following discussion articulates the<br />

findings under three themes: land use and transportation, walkability and place attachment, and<br />

space syntax and connectivity. The issues discussed under these categories are overlapping, and<br />

such articulation is mainly <strong>of</strong>fered as an organizational framework for the large amount <strong>of</strong> data<br />

addressed below.<br />

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MOHAMMED KASHEF<br />

3.1 Land Use and Transportation<br />

Coordinating transportation and land use emerged as a critical component <strong>of</strong> viable economic<br />

development policies, infrastructure planning and management, and more significantly for this<br />

paper, as a potential modifier <strong>of</strong> travel behavior. Zoning and land use are used exchangeably to<br />

denote an approach to planning urban and suburban developments. Traditional zoning, <strong>of</strong>ten<br />

referred to as “Euclidean Zoning” after the approach was approved in the Supreme Court<br />

decision in 1926, began as a political response to the obnoxious effects <strong>of</strong> industry on human<br />

settlements. Zoning regulation progressed further and enacted exclusive zones for <strong>of</strong>fice use,<br />

commercial, and different housing categories. The rationale behind land use regulation was to<br />

promote the public’s health, safety, and welfare. It was also meant to stabilize property values,<br />

encourage stable and congenial neigborhoods, and regulate traffic flow. Over the past several<br />

decades, zoning was subject to regular criticism and commonly described as inflexible and<br />

exclusionary. It codified the relocation <strong>of</strong> commercial and <strong>of</strong>fice functions to suburbs, causing a<br />

spatial mismatch between lower classes in downtowns and suburban employment locations. The<br />

single-use areas prescribed by zoning resulted in sprawling suburban patterns with substantial<br />

distances and voids between related urban functions. The private automobile was the most logical<br />

choice, and other modes <strong>of</strong> transport such as public transit, walking, or biking became unviable.<br />

There is a heated planning debate regarding the role that zoning played in shaping the American<br />

urban/suburban form. Some planning studies portrayed zoning as a cultural artefact that reflected<br />

long-standing societal choices, which continue to be asserted in buying decisions and outright<br />

preference for auto-dependent, single-use suburban locations. These referred to the efficiency <strong>of</strong><br />

market-driven policies and the economic rationale <strong>of</strong> bid-rent curves which show how the highest<br />

and best use <strong>of</strong> land is determined. They maintained that zoning bylaws and land use regulations<br />

do not have as much effect on decentralizing American cities as consumer preferences and tastes;<br />

developers are market-conscious and do not usually risk building an unacceptable product<br />

(Kashef [55]). Other planning and design studies referred to zoning as the culprit behind the<br />

dispersion and fragmentation <strong>of</strong> the North American built form. In that sense, suburban sprawl<br />

was promoted by a combination <strong>of</strong> zoning regulations, mortgage policies, and massive highway<br />

and road building programs that were aided by the federal and state governments. These policies<br />

helped instate the private automobile as the one and only viable mode <strong>of</strong> transport within most<br />

American cities. Most people had limited choices and were sold on a highly publicized and<br />

government-subsidized ideal (the American dream) that shaped the development market over the<br />

past several decades (Kashef [55]; Ewing [28]; Duany et al [25]). The New Urbansits have<br />

always emphasized the need to replace Euclidean zoning with flexible built form controls that<br />

provide more options and create socially and physically integrated communities and<br />

neigborhoods. The latter should promote mix <strong>of</strong> uses and built forms and coordinate land use and<br />

transportation, thereby allowing a rich modal split between motorized (car/public transit) and<br />

non-motorized (walking/biking) transportation. The New Urbanist agenda is predicated on the<br />

hypothesis that changing neighborhood land use configurations and increasing their density<br />

would influence travel behavior and promote public transit, walking and biking (Duany et al [24],<br />

[25]; Calthorpe et al [16]; Katz [56]; Dutton [26]).<br />

The findings <strong>of</strong> some recent transportation and planning studies cast doubts on the potential <strong>of</strong><br />

neigborhood design on travel behavior. Bagley et al [8] examined the relationship <strong>of</strong> residential<br />

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NEIGHBOURHOOD DESIGN AND WALKABILITY<br />

neigborhood type to travel behavior, incorporating attitudinal, lifestyle, and demographic<br />

variables. Data were collected from five neigborhoods in the San Francisco Bay area with singleand<br />

mixed-use configurations. The results showed that people with different travel propensities<br />

select themselves into neigborhoods that support their lifestyle and attitudinal predispositions.<br />

Mixed land use configuration in and <strong>of</strong> itself did not affect travel behavior (Bagley et al [8]).<br />

Other Bay Area studies have shown that mixed land uses and close proximity to retail services<br />

may induce nonmotorized transport. However, the data analysis revealed that land use on its own<br />

had a modest and sometimes statistically insignificant effect on walking and biking. Various<br />

exogenous factors, such as topography, darkness, and rainfall had far stronger influences than<br />

land use. Demographic characteristics <strong>of</strong> trip makers were also far stronger predictors <strong>of</strong> walking<br />

and biking rather than land use factors (Cervero et al [19]; Schwanen et al [86]). Evidence from<br />

the RESIDE project in Australia also contradicted the New Urbanism hypothesis. The RESIDE<br />

project aimed at evaluating the impact <strong>of</strong> land use mix among other urban design factors on<br />

walking for recreation and transport. It was a five-year longitudinal study that used a baseline<br />

survey completed by home owners before and after moving from single-family estates in monozoned<br />

suburbs to mixed-use neighborhoods. The results underscored the process <strong>of</strong> self-selection<br />

and provided no evidence that residents became more physically active in mixed-use<br />

neigborhoods than other types <strong>of</strong> estates (Pikora et al [75]).<br />

Reid Ewing, on the other hand, argued that development patterns and especially land use mix<br />

affect travel patterns. By operationalizing various aspects <strong>of</strong> the built environment, Ewing<br />

compared the extremes <strong>of</strong> sprawl and compact mixed use developments. He emphasized that<br />

relatively higher densities and balanced mix <strong>of</strong> residential, commercial, and employment<br />

activities would render active travel modes such as walking, biking, and transit more viable<br />

(Ewing [27]). Such assertions were supported by various other studies that focused on<br />

disaggregate data measuring walking activity on the household and individual levels. A study <strong>of</strong><br />

Austin neigborhoods in Texas showed that mixed-use developments with relative proximity <strong>of</strong><br />

retail, employment, and residential uses generated almost twice the walking activity <strong>of</strong><br />

conventional suburbs (Handy [37]). The findings <strong>of</strong> this and other studies suggested that<br />

utilitarian trips to work, shopping, etc. were the source <strong>of</strong> overall differences in walking activity<br />

between mixed-use and conventional suburbs (Handy [40]; Saelens et al [83]; Rajmani et al [77];<br />

Handy et al [38], [39], [43]).<br />

A general sense <strong>of</strong> unease, however, characterizes the presentation <strong>of</strong> findings <strong>of</strong> various<br />

empirical investigations. Kevin Krizek [59] conducted a longitudinal study about land use and<br />

travel patterns <strong>of</strong> 6,144 households in Seattle, Washington. The study analyzed the changing<br />

patterns <strong>of</strong> travel behavior for families who moved from conventional suburbs to mixed-use New<br />

Urbanist neighborhoods. The findings generally indicated that changes in urban form and land<br />

use triggered changes in modal split. Overall vehicle miles traveled (VMT) were decreased after<br />

moving to mixed-use environments. A closer look at the data revealed that such VMT reduction<br />

was not universal and it was mainly generated by households who were previously active and<br />

used transit even before they moved to New Urbanist communities (Krizek [59]).<br />

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3.2 Walkability and Place Attachment<br />

Walkability here refers to non-work related physical activity that does not necessarily rely on<br />

mixed land use configurations that allow people to walk from home to work or major shopping<br />

centers and vice versa. It is more about walking for leisure purposes, recreation (parks and<br />

playgrounds), marginal shopping errands (buying a Popsicle), and/or exercise. Place attachment<br />

is a complex and pertinent construct that figured in most design and planning literature as both a<br />

by-product <strong>of</strong> and contributor to walking and overall human presence in the public sphere.<br />

Walking in that sense does not contribute much to reducing VMT; it does not substitute for<br />

automobile driving but may have positive impact on people’s daily physical activity levels and<br />

overall health. Place attachment is <strong>of</strong>ten described as a “positive affective relationship between<br />

people and place” that occurs because <strong>of</strong> people’s satisfaction and identification with a specific<br />

place. Identification with a place results in emotional connections with its physical attributes that<br />

people <strong>of</strong>ten associate with social events. Place and associated emotions and events become<br />

inseparable or interchangeable in people’s minds. The meaning <strong>of</strong> place here encompasses built<br />

environments as well as natural and cultural landscapes.<br />

Designers have generally maintained that certain spatial configurations, built forms, and design<br />

elements can play a significant role in promoting walkability, safety, and place attachment. The<br />

most significant design theme arising from the design and planning literature and potentially<br />

affecting neighborhood walkability and sociability is the interface between the private and public<br />

realms (Kelbaugh [57]; Jacobs [53]; Alexander [4]; Duany et a [25]). It is essentially about the<br />

articulation <strong>of</strong> the outer skin <strong>of</strong> buildings or homes and disposition <strong>of</strong> buildings in space. Various<br />

studies indicate that increasing the interface between private and public realms tends to heighten<br />

the level <strong>of</strong> activity around the edges <strong>of</strong> buildings. From a residential design perspective,<br />

elements that contribute to increased private/public interface include windows <strong>of</strong> active living<br />

spaces, transitional spaces such as entryways or porches, as well as the availability and<br />

distribution <strong>of</strong> common spaces. As long as home privacy is maintained, the presence <strong>of</strong> such<br />

elements creates opportunities for walking and social interaction among inhabitants (Duany et al<br />

[25]).<br />

The interaction referenced here can be characterized as passive or active. The passive social<br />

interaction falls under a category that Bill Hillier calls ‘social or spatial co-presence.’ Hillier<br />

contends that co-presence and therefore co-awareness amongst the individuals living in and<br />

passing by an area can be considered a raw material for social interaction. Whilst co-present<br />

individuals are not a community and may not know or acknowledge each other, they in fact form<br />

a social resource for communal behavior. Co-presence is a very important psychological resource<br />

in and <strong>of</strong> itself and can be brought about by design (Hillier [51]). Jane Jacobs’s ‘eyes on the<br />

street’ and Newman’s ‘defensible space’ have earlier noted the significance <strong>of</strong> home windows<br />

and visible entrance doors in providing surveillance and self-policing <strong>of</strong> public spaces (Jacobs<br />

[53]). Active interaction is commonly perceived as a by-product <strong>of</strong> increasing the pattern <strong>of</strong><br />

‘probabilistic interfaces,’ a heightened sense <strong>of</strong> co-awareness or co-presence, leading to overt<br />

social acknowledgment (Hillier [51]: 129-214). Transitional spaces such as home porches<br />

provide a setting for conversation, a kind <strong>of</strong> ‘Shakespearean’ theatrical platform for social ‘play.’<br />

Porches project the human presence within the house to passersby, creating a sense <strong>of</strong> ‘plot’; a<br />

voluntary and potentially entertaining social exchange (Figs. 2, 3). The availability <strong>of</strong> the home<br />

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NEIGHBOURHOOD DESIGN AND WALKABILITY<br />

porch is significant whether a conversational exchange takes place or not. The porch acts as a<br />

precondition or a ‘stage’ for a social play that otherwise would not have been possible.<br />

Figure 2. A single family home with a porch fronting a<br />

neighborhood sidewalk, New Bern inner suburbs, North<br />

Carolina (built in the 1940s).<br />

Figure 3. A single family home in a modern suburb,<br />

New Bern, North Carolina (built in 2006).<br />

Another important dimension <strong>of</strong> the notion <strong>of</strong> walkabilty and sociability <strong>of</strong> built environments,<br />

and a factor in the private/public interface, is the idea <strong>of</strong> closeness or compactness. The New<br />

Urbanism called for shrinking private space and positioning homes closer to the curbside.<br />

Reducing the distance between home porches and sidewalks contributes to the ‘Shakespearean’<br />

plot and may enhance passive (co-awareness) and potentially active social exchanges between<br />

residents and passersby. New Urbanism codes typically prescribe a 15-20 feet optimum distance<br />

between sidewalks and porches to facilitate social encounters (Duany [25]). Reducing the<br />

physical footprint <strong>of</strong> buildings within a given development would also free more space for public<br />

activities. Public places in the form <strong>of</strong> parks and/or civic facilities such as picnic shelters, park<br />

gazebos, playgrounds, sports fields, etc. provide venues for chance encounters and serve as<br />

symbols <strong>of</strong> places (Langdon [60]). The urban design literature in general, and the New Urbanism<br />

praxes in particular, recognize sense <strong>of</strong> place as a function <strong>of</strong> sense <strong>of</strong> space which requires<br />

heightened attention to spatial configurations, design details, and disposition <strong>of</strong> public functions.<br />

The planners, designers, and New Urbanists’ case regarding the impact <strong>of</strong> spatial form and design<br />

details on human behavior is theoretically supported by environmental psychology and/or<br />

environmental sociology studies. Individuals associated with the latter strand <strong>of</strong> research aim to<br />

develop a body <strong>of</strong> knowledge that would enable designers, engineers, and other pr<strong>of</strong>essionals to<br />

envision optimum physical environments that enhance human functions and social relations.<br />

Some environmental sociology studies showed statistical evidence that design and spatial<br />

allocation <strong>of</strong> homes within residential blocks can have an impact on residents’ social relations<br />

and interactions. They asserted that facilitating people closeness by proper arrangement <strong>of</strong> private<br />

and shared public spaces enhances social contact and group/place attachment. Emily Talen [89]<br />

referred to housing studies in Chicago and Pittsburgh that highlight the role <strong>of</strong> the neighborhood<br />

physical environment in shaping residents’ social networks and interactions. Other researchers<br />

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MOHAMMED KASHEF<br />

have found a direct correlation between home design and family interaction. Strategically located<br />

kitchens and living spaces tend to foster interaction and provide more opportunities for<br />

socialization among family members.<br />

John Peponis et al [74] have also pointed to direct and statistically supported evidence that <strong>of</strong>fice<br />

layout can contribute to the density <strong>of</strong> different network interaction and productivity. Integrated<br />

<strong>of</strong>fice layouts establish patterns <strong>of</strong> informal co-awareness and interaction, thus facilitating<br />

communication, sharing <strong>of</strong> ideas, and the joint exploration <strong>of</strong> possibilities in the non-routine<br />

phases <strong>of</strong> knowledge work. Other recent planning studies provided some credence to the New<br />

Urbanism claims regarding the impact <strong>of</strong> neighborhood design on non-work walking activity.<br />

Among the most important variables predicting a difference in walking was a change in the<br />

attractiveness <strong>of</strong> built environment. All else equal, people walked more after moving to visually<br />

pleasing neighborhood environments with variety <strong>of</strong> housing styles, well-maintained sidewalks<br />

and landscape, better street lighting, and more opportunities for social interaction. Such changes<br />

did not necessarily translate to less driving; it mainly impacted leisure-based walking (Handy<br />

[42], [43]). These results were corroborated by various other studies inside the U.S. and other<br />

cities in Australia. Design aesthetics, perceived safety levels, sidewalk treatments, trees, and the<br />

overall quality and variety <strong>of</strong> buildings were conducive to increased walkability and sociability<br />

(Rajmani et al [77]; Doyle et al [23]).<br />

3.3 Space Syntax and Connectivity<br />

Bill Hillier and Julienne Hanson probably coined the term ‘space syntax’ which delineates a set<br />

<strong>of</strong> spatial concepts and principles that underlie human interaction with the built environment<br />

(Hiller et al [52]). The aim <strong>of</strong> space syntax is to optimize the spatial allocations and connections<br />

between human functions so as to produce the most effective configurations and circulation<br />

networks. The assumption is that movement through space is a key organizing element in the<br />

social functioning <strong>of</strong> human settlements. Hillier contends that socioeconomic forces shape the<br />

city primarily through the relations between movement and the structural layout <strong>of</strong> local districts.<br />

A mixed-use strategy that brings homes closer to retail cannot generate movement unless shops<br />

are selectively located on integrating lines that carry the most movement in relation to<br />

surrounding spaces (Hillier [50], [51]). Hillier’s work sparked the development <strong>of</strong> a large volume<br />

<strong>of</strong> research around the world that used space syntax logic to examine spatial configurations <strong>of</strong><br />

homes, <strong>of</strong>fices, neigborhoods, cities, metropolitan regions or movement networks <strong>of</strong> entire<br />

countries (Baran et al [9]; Hillier [49], [48]; Bafna [7]; Jiang et al [54]; Nophaket et al [71];<br />

Raford et al [76]; Peponis et al [74]). There are some contentious issues surrounding the<br />

application <strong>of</strong> space syntax tools to the real world. Space syntax relies primarily on twodimensional<br />

mapping and geometrical techniques that discard vertical and horizontal dimensions<br />

as critical components <strong>of</strong> spatial structures (Ratti [78]; Hillier [46]). A detailed investigation <strong>of</strong><br />

the space syntax and related contentious issues is outside the scope <strong>of</strong> the current paper. The<br />

objective here is to highlight the value <strong>of</strong> the space syntax approach in understating the dynamics<br />

<strong>of</strong> street network design and walkability. A neighborhood space syntax analysis starts with an<br />

axial representation <strong>of</strong> its street layout. The axial map shows the neighborhood streets as a series<br />

<strong>of</strong> intersecting lines creating a network <strong>of</strong> links and nodes. Each street or line on the map has a<br />

different level <strong>of</strong> connectivity with the network based on the number <strong>of</strong> other streets that intersect<br />

it. Streets that generate more intersections hold higher value as elements <strong>of</strong> integration in the<br />

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NEIGHBOURHOOD DESIGN AND WALKABILITY<br />

network. Important functions that tend to catalyze movement such as parks, shops, or other<br />

public amenities should be located on streets with the highest integration value in the network.<br />

Cumulatively, networks with more open (three- or four-way) street intersections create higher<br />

connectivity values (a grid system is the optimum).<br />

Connectivity indices measure the directness and availability <strong>of</strong> alternative routes between<br />

different locations within the road network. They are commonly used to assess the walkability<br />

potential <strong>of</strong> street networks. A connectivity index is commonly derived by dividing the number<br />

<strong>of</strong> roadway links by the number <strong>of</strong> roadway intersections and nodes (cul-de-sacs included). A<br />

higher number indicates a well-connected street system (Ewing [28]). Figures 4 & 5 juxtapose<br />

two hypothetical subdivision layouts with different connectivity potential. A link in the<br />

connectivity index is simply a stretch <strong>of</strong> road between two nodes. A node ranges from a dead-end<br />

cul-de-sac to a three- or-four-way intersection. The more links available in comparison to the<br />

number <strong>of</strong> nodes, the higher the connectivity and the potential <strong>of</strong> the street network to generate<br />

more pedestrian movement (Schmidt et al [85]). Various studies indicated that smaller blocks<br />

(less than 1000 feet long) and higher connectivity indices tend to generate more pedestrian<br />

movement (Ewing [28]; Southworth [88]; Krizek [59]; Cerin et al [18]; Frank et al [33]; Badland<br />

et al [6]; Chin et al [20]).<br />

Figure 4.<br />

Typical Subdivision Tract with Poor Connectivity<br />

Connectivity Index: Roadway Links/Nodes: 8/9 0.89<br />

Subdivision Statistics:<br />

No. <strong>of</strong> lots 84; average lot size 10,000 square feet<br />

No. <strong>of</strong> external access points 1; no. <strong>of</strong> dead-end<br />

streets 5<br />

Poor internal connectivity: Pedestrians have to<br />

backtrack from dead-end streets to navigate<br />

different areas <strong>of</strong> the subdivision. Roads do not<br />

encourage walking or biking.<br />

Poor external connectivity: There is a single<br />

access point on the collector road and no<br />

possibilities for alternative connectors with neighboring subdivisions.<br />

Figure 5.<br />

Typical Subdivision Tract Outfitted with Good<br />

Connectivity<br />

Connectivity Index: Roadway Links/Nodes: 15/10 =<br />

1.5<br />

Subdivision Statistics:<br />

No. <strong>of</strong> lots 84; average lot size 10,000 square feet<br />

<br />

11<br />

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MOHAMMED KASHEF<br />

<br />

<br />

<br />

No. <strong>of</strong> external access points 4; no. <strong>of</strong> dead-end streets 1 (less than 200 feet road stretch)<br />

Good internal connectivity: Pedestrians can navigate different areas <strong>of</strong> the subdivision along a<br />

continuous loop and small block sizes that encourage walking and biking.<br />

Good external connectivity: 1 main access along the collector road and 3 other alternative<br />

accesses that enhance connectivity with neighboring subdivisions and encourage walking and<br />

biking.<br />

Increasing street connectivity would mean better intra- and-inter-neighborhood accessibility not<br />

only for pedestrians and cyclers, but also for cars. In that sense, neighborhoods would be<br />

connected by internal streets that allow low-speed travel across a large number <strong>of</strong> neigborhoods<br />

in suburban regions. This could potentially reduce congestion along arterial roads and provide<br />

more route options when some links are blocked by traffic. Despite concerns about safety and<br />

increased car travel along suburban roads, transportation studies indicated that improved<br />

connectivity in suburban regions would provide a much needed flexibility <strong>of</strong> movement,<br />

especially for emergency vehicles. Building some redundancy in road networks is critical to their<br />

long-term viability and ability to generate a rich modal split between motorized and<br />

nonmotorized forms <strong>of</strong> transportation. Pedestrians and cyclers would be encouraged to travel<br />

along low-speed internal suburban roads rather than venturing into high-speed regional<br />

transportation corridors (Crane [21]; Ewing et al [29]; Handy et al [41]; Langdon [60]; Alba et al<br />

[3]). The findings <strong>of</strong> the Atlanta and Central Puget Sound traffic studies showed that doubling<br />

suburban road intersections would decrease regional vehicle miles traveled by approximately five<br />

to ten percent. Such decrease was attributed to the additional route options, shorter distances<br />

between origins and destinations as well as a better modal split between driving, walking, and<br />

biking (SMARTRAQ [87]; LUTAQH [66])<br />

3.4 Summarizing the Results <strong>of</strong> Planning, Design, and Transportation Studies<br />

Some transportation and planning studies corroborated the findings <strong>of</strong> health studies regarding<br />

the role <strong>of</strong> self-selection process in explaining the difference in walkability between conventional<br />

suburbs and mixed-use neigborhoods; people seem to select themselves into neigborhoods that<br />

support their lifestyle. These studies generally doubted the efficacy <strong>of</strong> the New Urbanism design<br />

techniques in changing people’s attitudes and encouraging a more active lifestyle. Planning<br />

studies, however, implicated zoning and government policies in entrenching the suburban ideal<br />

and creating car-dependent, low-density suburbs. Design and planning narratives criticized the<br />

exclusionary practices <strong>of</strong> Euclidean zoning. In that sense, zoning compartmentalized land uses,<br />

reduced densities, and eliminated functional overlaps that used to define vibrant human<br />

settlements. The ensuing metropolitan form was riddled with social and spatial mismatches<br />

between housing, commercial, and employment activities. Zoning and its attendant financial<br />

policies and infrastructure projects resulted in unsustainable urban growth with restricted<br />

individual options and inflexible development patterns. Two significant themes figured<br />

prominently in planning and design analyses. The first theme was the nexus between walkability<br />

and place attachment. Statistically supported investigations within environmental psychology and<br />

sociology asserted that good design can be used to bolster the experiential quality <strong>of</strong> built<br />

environments. Design provides possibilities for social interaction that enriches people’s lives and<br />

enhances their sense <strong>of</strong> place. Identification with a place results in emotional connections with its<br />

physical attributes. Homes, windows, sidewalks, porches, landscape, parks, etc. become critical<br />

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NEIGHBOURHOOD DESIGN AND WALKABILITY<br />

correlates <strong>of</strong> people’s presence in the public sphere. The second theme was space syntax and<br />

connectivity. Spatial relations, not architecture per se, define the ability <strong>of</strong> built environments to<br />

generate effective patterns <strong>of</strong> movement. Neighborhood walkability gets depleted once<br />

movement networks are compartmentalized through dead-ends and reduced intersections in the<br />

name <strong>of</strong> exclusivity and efficiency. Integrated spatial networks, higher street intersection<br />

densities, and supportive architectural configurations are all crucial for creating walkable<br />

neighborhoods. The crux <strong>of</strong> the planning and design analyses is that cities should create welldefined<br />

interfaces between buildings and streets and between localized movement in<br />

neighborhood streets and the more globalized pattern <strong>of</strong> movement in metropolitan areas.<br />

4. SYNTHESIS AND FUTURE RESEARCH DIRECTIONS<br />

Though pointing to positive associations between built environment and walkability, the<br />

empirical evidence discussed in this paper is not sufficient to frame a theory <strong>of</strong> built environment<br />

and human behavior. It did not provide a definitive answer one way or the other to the<br />

relationship between walkability and built environment. The available evidence can hardly be<br />

used as a firm basis for policy guidance. However, juxtaposing the results <strong>of</strong> studies from<br />

environmental health and planning, design, and transportation fields revealed some<br />

inconsistencies in the way attributes <strong>of</strong> built environment were operationalized and measured in<br />

health and planning empirical investigations. The qualitative aspects <strong>of</strong> built environments<br />

highlighted in the design literature were hardly translated to quantifiable variables in much <strong>of</strong><br />

these empirical studies. For example, the issue <strong>of</strong> sidewalks was mostly operationalized in a<br />

binary ‘0/1’ mode, available or unavailable. The design and space syntax literature indicated that<br />

there are critical configurational and spatial relationships that must exist before physical design<br />

elements can achieve their desired behavioral objectives. Sidewalks need to be located near home<br />

fronts to enhance the private/public interface. Home architecture in return should encompass<br />

transitional spaces that project human presence to the public space, e.g. porches and visible<br />

entryways. Windows <strong>of</strong> active spaces are also crucial to enhance these configurational and<br />

sociospatial dynamics. Other important design values include visual interest, coherence,<br />

enclosure, legibility, and variety. None <strong>of</strong> the reviewed statistically-driven studies translated such<br />

qualities into measurable variables. It is worth noting that Ewing et al [30] developed operational<br />

definitions and measurement protocols for such qualitative urban design values as imageability,<br />

enclosure, human scale, transparency, and complexity. These measurement protocols were not<br />

utilized or tested in the most recent empirical studies.<br />

The connectivity index used in various empirical investigations is another example <strong>of</strong> such<br />

reductionist statistical measures. The notion that street networks have more four-way<br />

intersections as well as more links than nodes does not say anything about the integrity <strong>of</strong> the<br />

road and block system, the distribution <strong>of</strong> key public functions within the street network, or the<br />

overall synergy achieved between form and function. The connectivity index is a very effective<br />

measure for studying the flexibility <strong>of</strong> road networks for motorized traffic but not an<br />

encompassing measure <strong>of</strong> intention-based and/or environment-provoked walking behavior. It is<br />

definitely a helpful measure, but may not supplant for a qualitative multi-dimensional<br />

understanding <strong>of</strong> the integration between local and regional road networks and disposition <strong>of</strong><br />

buildings and uses in space. It may not also be used as a unique measure to establish a cause and<br />

effect relationship between built environment and walking behavior.<br />

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The New Urbanism literature points to the need for creating a synergy between various design<br />

qualities in order to produce walkable and vital built forms. A piecemeal or reductionist approach<br />

that utilizes some elements and removes others may not achieve the desired objectives. The<br />

position taken here is empirically based and calls for internalizing qualitative urban design values<br />

and translating them into measurable protocols. Reductionist measures employed in many<br />

empirical studies should be replaced by rich protocols that benefit from the New Urbanism<br />

approach to understanding human settlements. Implicit in many <strong>of</strong> the recent empirical<br />

investigations is that the New Urbanism developments embody most or all <strong>of</strong> the good urban<br />

design principles that may enhance walkability. The New Urbanists have certainly succeeded to<br />

create that image. However, New Urbanist developments manifest a variety <strong>of</strong> approaches and<br />

selective inclusion <strong>of</strong> design principles in primarily pr<strong>of</strong>it-seeking development projects. This is<br />

not something that runs contrary to the movement mission. The New Urbanism aims to achieve<br />

its design objectives through private market dynamics. Thus, including New Urbanist<br />

developments for statistical and comparative analyses should be accompanied by in-depth,<br />

critical evaluation and assessment <strong>of</strong> their design and spatial morphology.<br />

Despite its current limitations, the space syntax approach holds a great potential for<br />

understanding morphological structures and built configurations. It goes beyond the simplistic<br />

binary characterizations <strong>of</strong> mixed-use/single-use, available/unavailable sidewalks, or<br />

connected/disconnected built environments. Space syntax analysis was used in some empirical<br />

investigations as a two-dimensional mapping technique to assess connectivity <strong>of</strong> road systems.<br />

But Hillier’s analyses highlighted a comprehensive approach to understanding human settlements<br />

that goes beyond two-dimensional mapping. It tackled movement through space, spatial<br />

allocation <strong>of</strong> important public functions, and configurational relationships between buildings and<br />

streets. Bringing homes closer to retail cannot generate movement unless shops are selectively<br />

located on integrating lines that carry the most movement in relation to surrounding spaces. This<br />

is critical for applying space syntax and understanding the nexus between built environment and<br />

walkability. Mixed-use was incorporated in some <strong>of</strong> the reviewed empirical investigations as one<br />

<strong>of</strong> the determinants <strong>of</strong> walkability. Critical evaluations <strong>of</strong> spatial relationships between homes<br />

and shops were generally lacking. This paper takes the position that integrating two- and-threedimensional<br />

metrics with space syntax analyses holds a great potential for future research aimed<br />

at understanding the complex relationship between built forms and human living patterns. The<br />

quest for understanding form and behavior would also require a concerted effort to develop<br />

comprehensive measurement protocols for a variety <strong>of</strong> qualitative urban design values.<br />

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105


106


AHU J. <strong>of</strong> Engineering & Applied Sciences 3 (1) : 107-118 (2010)<br />

© 2009 ALHOSN University<br />

QOS IMPROVEMENTS IN MOBILE WIMAX NETWORKS<br />

P. Rengaraju, C-H. Lung 1 , A. Srinivasan 2 , R.H.M. Hafez 1*<br />

1 Department <strong>of</strong> Systems and Computer Engineering, Carleton University, Ottawa, Ontario, Canada<br />

2 EION Inc. Ottawa, Ontario, Canada<br />

ABSTRACT: In the last few years the usage <strong>of</strong> multimedia applications and VoIP using mobiles over the<br />

internet has drastically increased. Providing Quality <strong>of</strong> Service (QoS) for the end user applications has become<br />

an important consideration for the upcoming fourth generation WiMAX and LTE networks. Research is<br />

continuing in Physical (PHY) layer, Medium Access Control (MAC) layer and cross layers in order to improve<br />

the QoS for both WiMAX and 3GPP-LTE networks. This paper discusses fundamental issues in QoS<br />

improvements in WiMAX networks in each layer.<br />

Key words: IEEE 802.16; WiMAX; QoS; QoE<br />

1. INTRODUCTION<br />

WIMAX stands for Worldwide Interoperability for Microwave Access. It is the technology<br />

aimed to provide broadband wireless data access over long distances [5]. It is based on<br />

Institute <strong>of</strong> Electrical and Electronics Engineers (IEEE) 802.16 standards [1], [2] and the<br />

standard defines the PHY and MAC layer functionalities. The technology provides basic<br />

Internet Protocol (IP) connectivity to the user and the communication is connection oriented.<br />

The initial IEEE 802.16d standard is specific to fixed and nomadic users. Based on increasing<br />

mobile users requirements and to increase the coverage region, the standard released the IEEE<br />

802.16e and IEEE 802.16j [2] versions. Now the IEEE 802.16m [3], [4] task group are<br />

working to support the International Mobile Telecommunications (IMT) - Advanced<br />

requirements. One <strong>of</strong> the most controversial requirements <strong>of</strong> IEEE 802.16m, during the<br />

development <strong>of</strong> its system requirement document [4] was full backwards compatibility and<br />

interoperability with the legacy systems.<br />

The MAC and PHY functions can be classified into three categories, namely data plane,<br />

control plane and management plane. The data plane comprises functions in the data<br />

processing path such as header compression as well as MAC and PHY data packet processing<br />

functions. A set <strong>of</strong> L2 control functions is needed to support various radio resource<br />

configuration, coordination, signaling and management. This set <strong>of</strong> functions is collectively<br />

referred to as control plane functions. The individual data and control plane functionalities <strong>of</strong><br />

PHY and MAC layer is shown in Fig.1. A management plane is also defined for external<br />

management and system configuration. Therefore, all management entities fall into the<br />

management plane category [5]. Some <strong>of</strong> the MAC layer functional blocks are discussed in<br />

section III, MAC layer QoS. improvements. Relay functions and advanced air interface<br />

support functions are specific to 802.16j and 802.16m standard.<br />

________________________<br />

* Corresponding Author.<br />

E-mail : hafez@sce.carlton.ca<br />

107


P. RENGARAJU, C.H. LUNG, A. SRINIVASAN, R.H.M. HAFEZ<br />

The different types <strong>of</strong> PHY carriers are Single Carrier (SC) for 11 to 66GHz, Single Carrier<br />

access (SCa) for less than 11GHz, Orthogonal Frequency Division Multiplexing (OFDM) and<br />

Orthogonal Frequency Division Multiple Access (OFDMA). Most <strong>of</strong> the IEEE 802.16e based<br />

nodes, IEEE802.16j and IEEE 802.16m nodes uses only OFDMA. The QoS improvements on<br />

OFDMA carriers are sub channelization, Multiple Input Multiple Output (MIMO), Adaptive<br />

Antenna System (AAS) and Space Time Coding etc.<br />

The term QoS refers to the probability <strong>of</strong> the telecommunication network meeting a given<br />

traffic contract. The parameters that can be used to measure it quantitatively are throughput,<br />

transmission delay or packet delay, delay jitter, percentage <strong>of</strong> packets lost etc. On top <strong>of</strong> this,<br />

the International Telecommunication Union (ITU) recently released the Quality <strong>of</strong> Experience<br />

(QoE) framework ITU-T (2004) in which an explicit distinction has been made between QoS<br />

and QoE. The QoS expresses the ‘degree <strong>of</strong> objective service performance’ and QoE the<br />

‘overall acceptability <strong>of</strong> an application or service, as perceived subjectively by the end user’.<br />

From the last few years, many researches are on going to increase the capacity and improve<br />

the QoS <strong>of</strong> the network [5]. This paper analyses the QoS improvements in each layer and the<br />

cross layer.<br />

The rest <strong>of</strong> the paper is organized as follows. Section II and III surveys the QoS<br />

improvements in PHY and MAC layer. Section IV surveys end-to-end (E2E) QoS and cross<br />

layer improvements. The last section V is the conclusion <strong>of</strong> the Paper.<br />

2. PHY LAYER QOS IMPROVEMENTS<br />

There are two ways to improve the PHY layer QoS; 1. Increase the spectral efficiency <strong>of</strong><br />

available spectrum by advanced OFDMA and MIMO techniques. 2. Re-use <strong>of</strong> available<br />

frequency spectrum to increase the capacity. OFDMA demonstrates superior performance in<br />

non-line-<strong>of</strong>-sight (N-LOS) multi-path channels with its relatively simple transceiver structures<br />

and allows efficient use <strong>of</strong> the available spectrum resources by time and frequency sub<br />

channelization. On the other hand MIMO technology multiplies throughput without requiring<br />

additional frequency bandwidth, enhances link reliability through spatial diversity and<br />

enlarges the coverage area by increasing the transmission range [5]. The Partial Frequency<br />

Reuse (PFR) [11], [12] and Full Frequency Reuse (FFR) [10] can be <strong>applied</strong> to WiMAX<br />

network to increase the capacity <strong>of</strong> the network.<br />

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QOS IMPROVEMENTS IN MOBILE WIMAX NETWORKS<br />

MIMO Techniques<br />

Examples <strong>of</strong> MIMO techniques include single-user MIMO (SU-MIMO), multiuser MIMO<br />

(MU-MIMO), and cooperative relay [7]. Multiuser interference becomes a bottleneck for<br />

increasing multiuser MIMO throughput at high SNRs or for a relatively larger number <strong>of</strong><br />

multiuser MIMO users. This places a more stringent requirement on channel state information<br />

(CSI) accuracy for multiuser MIMO than that for point-to-point MIMO. To acquire highlyaccurate<br />

CSI without incurring excessive overhead, limited feedback can be integrated with<br />

multiuser diversity. MIMO schemes can be broadly divided into two categories; the ones<br />

which have and use CSI at the transmitter which is called closed-loop (i.e., beam forming<br />

and/or pre-coding) and the other without CSI at the transmitter (i.e. space-time coding (STC)<br />

and spatial rate multiplexing (SM)) which is called open-loop [6].<br />

Space–time Coding [6]: This technique is used to transmit multiple copies <strong>of</strong> a data stream<br />

across a number <strong>of</strong> antennas and to exploit the various received versions <strong>of</strong> the data to<br />

improve the reliability <strong>of</strong> data-transfer. It combines all the copies <strong>of</strong> the received signal in an<br />

optimal way to extract maximum information as possible from each <strong>of</strong> them and does not<br />

require CSI, but extracts transmit diversity. Multiuser diversity refers to the degrees <strong>of</strong><br />

freedom due to independent fading in different users’ channels [5]..<br />

Spatial Multiplexing [6]: It multiplexes more than one symbol per channel use. The number<br />

<strong>of</strong> symbols transmitted per symbol use determines the spatial rate. This scheme allows<br />

transmission <strong>of</strong> multiple independent data streams on a set <strong>of</strong> transmit antennas without any<br />

CSI. However, the maximum number <strong>of</strong> streams that can be transmitted is limited by (Nr, Nt),<br />

where Nr is the number <strong>of</strong> receive antennas, Nt is the number <strong>of</strong> transmit antennas. In<br />

WiMAX, the spatial rate<br />

Beam forming [6]: This scheme uses CSIT to put energy only into the Eigen modes <strong>of</strong> the<br />

channel. It extracts both diversity and array gains. Since this scheme requires CSIT, it should<br />

be ensured that the delay between the CSIT estimates and its usage be smaller compared to<br />

the quasi-static interval <strong>of</strong> the channel (i.e., the period over which the channel remains<br />

constant).<br />

A comparison between the STC Alamouti, SM and SIMO is simulated in [6] for the same<br />

spectral efficiency. At 1% block error rate (BLER) the STC scheme has a SNR advantage <strong>of</strong><br />

approximately 1.0 dB and the spatial multiplexing has an advantage <strong>of</strong> approximately 1.5 dB<br />

compared to SIMO. In [8], the MIMO schemes are simulated for equal mean packet data call<br />

duration (EMPC-D) and equal mean packet data volume (EMPC-V). The spectral efficiency<br />

(h) and throughput performance for pedestrian B–3 model are given in the table 1.<br />

109


P. RENGARAJU, C.H. LUNG, A. SRINIVASAN, R.H.M. HAFEZ<br />

MIMO for 802.16j and 802.16m: A more efficient solution to extend coverage and enhance<br />

throughput in 802.16j and 802.16m is to deploy low-cost RSs in the network [5]. In relaybased<br />

wireless network, the transmission has two phases, namely from source to relay (SR)<br />

and from relay to final destination (RD). In this case the access RS or end user may receive<br />

the signal either an opportunistic fashion or from more than one superior RS in co-operative<br />

fashion [7].<br />

Frequency reuse<br />

The PFR takes the advantage <strong>of</strong> sub-channelization from OFDMA where FFR takes the<br />

advantage <strong>of</strong> cell saccharisation.<br />

PFR scheme: The key issue in PFR is how efficiently the sub-channel segmentation and the<br />

sub-channel are reused. In PFR [11], the Cell Edge Users (CEU) operate on a sub-frame zone<br />

with a fraction <strong>of</strong> all available sub-channels, while the inner cell users operate on a zone with<br />

all sub-channels available. Usually, CEU are operated with frequency reuse=3 (called the R3)<br />

zone and the cell center users (CCU) are operated in a R1 sub-frame zone. The transmission<br />

frame structure with time and frequency resource allocations for the R1 and R3 zones is<br />

shown in Fig.2. All the cells/sectors operated in the network have common boundaries. In<br />

PFR [11] scheme, the interference margins at the cell edge are effectively controlled for larger<br />

R3 zone sizes. In [12], there are five different algorithms (with or without frequency reuse)<br />

that are compared with either uniform Fixed Channel Allocation (FCA) or non uniform FCA.<br />

The main principle in the channel allocation in BS is the channel borrowing from CEUs to<br />

CCUs and from lower priority services to higher priority services <strong>of</strong> CEUs and CCUs. From<br />

their results [12], the performance <strong>of</strong> uniform-FCA scheme is much worse than non uniform-<br />

FCA.<br />

Figure 2 PFR-Transmission Frame [11]<br />

FFR scheme: In cell saccharisation, the BS, Omni directional antenna is replaced by several<br />

directional antennas each radiating within a specified sector. With hexagonal cell patterns, the<br />

most common sectoring schemes employ 120° or 60° sectors. Splitting each cell into three<br />

sectors multiplies the cell capacity by three, but since a separate channel is allocated to each<br />

sector, three channels are needed to serve the entire cell and the spectral efficiency remains<br />

unchanged. However, in practice, the radiation diagrams <strong>of</strong> the sector antennas used are<br />

exceeding the sector boundaries and there is a significant overlap region between adjacent<br />

sectors, which prohibits FFR.<br />

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QOS IMPROVEMENTS IN MOBILE WIMAX NETWORKS<br />

Figure 3- Cell Sectoring 120-deg hexagonal and 90-deg circle [10]<br />

One way to handle this problem is to reserve a group <strong>of</strong> subcarriers to serve users located in<br />

overlap regions, those are called CEU. The remaining subcarriers are reserved for the nonoverlap<br />

regions and they are reused in all sectors. Since only one part <strong>of</strong> the subcarriers is<br />

reused, this scheme ensures PFR. The FFR technique uses the existing MIMO concepts to<br />

serve the users located in the overlap regions. More specifically, while two users located in<br />

the overlap region <strong>of</strong> two sectors, say A and B, are served by these two sectors, the third<br />

sector C serves a user located in its overlap free region Thus, three users are simultaneously<br />

used and full frequency reuse is achieved. In [10], each cell is partitioned in to four sectors<br />

with different reuse (half rate code and full rate code) is shown in Fig.3. For interference<br />

reasons, 120° sectors are commonly used in hexagonal cell patterns. However, the number <strong>of</strong><br />

sectors per cell does not have to follow any rule when all <strong>of</strong> the sectors use the same<br />

frequency.<br />

3. MAC LAYER QOS IMPROVEMENTS<br />

Even though the spectrum efficiency and throughput capacity is improved by PHY layer,<br />

MAC layer plays the important role to improve the end user QoS/QoE. The standard [1, 2, 3<br />

and 4] defines only the functionalities <strong>of</strong> the MAC functions but the algorithm<br />

implementation in each block is vendor specific. The recent researches pay more attention to<br />

some <strong>of</strong> the blocks like scheduler, Radio Resource Management (RRM), Handover and multichannel<br />

HARQ IEEE 802.16 standards defines five different service classes and its QoS<br />

parameters, which are Unsolicited Grant Service (UGS), Extended real time Polling Service<br />

(E-rtPS), real time Polling Service (rtPS), non-real time Polling Service (nrtPS) and Best<br />

Effort (BE) services. Any end user application follows any one <strong>of</strong> the above five service<br />

classes. The MAC control function algorithm considers the type <strong>of</strong> service and its QoS<br />

parameters.<br />

A. Radio Resource Management (RRM)<br />

One <strong>of</strong> the main functions <strong>of</strong> the RRM is the Call Admission Control (CAC). Possible<br />

input parameters for the CAC module are: the connection type (downlink/uplink and<br />

new/handover), service class and QoS. The CAC implemented in [13, 14, 15, 16 and 17] are<br />

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P. RENGARAJU, C.H. LUNG, A. SRINIVASAN, R.H.M. HAFEZ<br />

considered for our analysis. Performance metrics <strong>of</strong> the CAC algorithm is Call Blocking<br />

Probability (CBP), Call Dropping Probability (DP) and Bandwidth Utilization (BU) [15].<br />

The simple Quadra-Threshold Bandwidth Reservation (QTBR) CAC scheme is introduced<br />

in [16], which uses the different threshold for different service class. In that real time<br />

applications are more prioritized. An adaptive CAC implemented in [17] used the minimum<br />

bandwidth requirement Bmin and the maximum bandwidth requirement Bmax input<br />

parameters and a simple Dynamic Guard Channel scheme. In this scheme the bandwidth is<br />

reserved for hand<strong>of</strong>fs by defining two levels <strong>of</strong> threshold, thmin and thmax, where thmin <<br />

thmax < B (total bandwidth). In [14], Adaptive Fuzzy-Based Admission Controller is used<br />

which considers the buffer occupancy based algorithm and the connection type. Token Bucket<br />

based CAC scheme is used in [15] and they compare the performance <strong>of</strong> existing handover<br />

prioritized CAC algorithm and Service class specific CAC algorithm. Their algorithm follows<br />

token bucket algorithm equation (1). Higher priority is given to the handover calls.<br />

Where, f = Duration <strong>of</strong> the frame in msec. CrtPS and CNRT = BW allocated to rtPS and<br />

nrtPS connections. ri and bi = Token arrival rate and bucket size in Kbps. mi = d/f, mi<br />

(integer); d = Maximum latency for rtPS in msec.<br />

In [12], the CAC considers the E2E delay as one the important parameter for call admission.<br />

Since the current network is based on multi-hop communication, E2E delay should be<br />

considered for any new CAC algorithm.<br />

Mobility management<br />

It scans neighbour BSs and decides whether the MS should perform a handover operation.<br />

In general, the handover can be broadly classified in to hard handover or s<strong>of</strong>t handover. The<br />

handover may occur with the same WiMAX network, called as horizontal hand<strong>of</strong>f or it may<br />

occur with different network, called as vertical hand<strong>of</strong>f. The QoS parameters considered<br />

during the handover are handover latency and packet drop.<br />

IEEE 802.16e [1] defines 3 types <strong>of</strong> handover, the hard Handover scheme which may be<br />

<strong>applied</strong> in the case <strong>of</strong> a low speed and it uses the mechanism break-before-make. Other two<br />

types are S<strong>of</strong>t Handover, Macro Diversity Handover (MDHO) and Fast Base Station<br />

Switching (FBSS) which may be <strong>applied</strong> in the case <strong>of</strong> a high speed and use the make-beforebreak.<br />

In our study, the Mobile IP (MIP) based handover performs well to provide more<br />

security and less delay [37]. In FBSS MS maintain the group <strong>of</strong> BSS nearer to it and select<br />

one <strong>of</strong> them as an Anchor BS among BSS, and communicates all traffic with only the Anchor<br />

BS. The mobile has the right to change Anchor BS when it wants as long as it is connected<br />

with. But these s<strong>of</strong>t handover can be <strong>applied</strong> only when the cell size is small to maintain more<br />

than two BSS in the MS diversity set or relay networks to maintain more than two relays in<br />

the MS diversity set.<br />

Hand<strong>of</strong>f with other wireless networks: The fourth generation network is based on All-IP<br />

and the emergence <strong>of</strong> multiple standards, such as WiMAX, 3GPP (LTE), Wi-Fi, Mobile-Fi<br />

(IEEE 802.20) and IEEE 802.15, it has become necessary to define a new interworking<br />

standard IEEE 802.21, which is being designed to facilitate handover among any wireless<br />

access technologies. IEEE 802.21 defines the Media Independent Handover (MIH) functions<br />

which facilitates messaging among IP and the various wireless link layer technologies, to<br />

select an appropriate network for handover and to set up new wireless links. In MIH, QoS at<br />

the IP layer can be interworked with QoS at the wireless link layers to provide the QoS<br />

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QOS IMPROVEMENTS IN MOBILE WIMAX NETWORKS<br />

required by the user application. Fig 4 shows the MIH function protocol stack. The three type<br />

<strong>of</strong> messages used are event notification from the same layer or other layer like signal<br />

threshold command service for processing the handover with any network and finally the<br />

information service to provide information to other layers.<br />

Figure 4- MIH Functions (Protocol Stack) [25]<br />

In [23] network initiated handover based on IEEE 802.21 is simulated. Both the Mobile<br />

Terminal Initiated Handover (MIHO) and Network Initiated Handover (NIHO) are simulated<br />

in [24]. The comparative analysis <strong>of</strong> alternative approaches that have been developed by IEEE,<br />

3GPP and others for handover <strong>of</strong> PSTN and Internet sessions among multiple wireless<br />

technologies including UMTS, WiFi, WiMAX, Mobile-Fi and WPANs discussed in [25]. The<br />

s<strong>of</strong>tware architecture which supports the seamless handover between WiMAX and UMTS<br />

network is discussed in [30].<br />

Scheduler<br />

It is one <strong>of</strong> the major blocks to ensure the QoS and it performs the scheduling <strong>of</strong> MAC<br />

control and data packets. The WiMAX schedulers can be classified into two main categories:<br />

channel-unaware schedulers and channel-aware schedulers. The channel-unaware schedulers<br />

are quite simple for design, which assumes that the channel is error free for packet<br />

transmissions. Basically, the channel-unaware scheduler makes the scheduling decision<br />

without any channel state information. However, in wireless environment, there is a high<br />

variability <strong>of</strong> radio link such as channel attenuation, fading and noise interference. The<br />

channel-aware schedulers, on the other hand, consider the channel state information while<br />

scheduling the packet.<br />

Since there is no single homogenous scheduling algorithm meets all the QoS requirements<br />

for different service classes, researchers are trying to find hybrid scheduling algorithms to<br />

satisfy QoS for different service classes. The hybrid scheduling algorithm combines more<br />

than one legacy homogeneous schedulers to satisfy the QoS. Three tiers scheduling also<br />

proposed in [20], but the complexity is increased.<br />

Channel-aware schedulers are kind <strong>of</strong> an opportunistic schedulers, whereby each MS is<br />

assigned a priority based on its channel quality and service status. In [18], some <strong>of</strong> the<br />

channel aware schedulers are analyzed for different QoS objective functions. The cross layer<br />

scheduling is analyzed in the next section.<br />

Hybrid automatic repeat-request (HARQ)<br />

It is critical for IEEE 802.16e OFDMA network, as it can significantly improve the<br />

reliability <strong>of</strong> wireless link. The IEEE 802.16e [1] standard defines the basic HARQ support.<br />

Since the data transmission is frame based and different OFDMA sub-channel are allocated<br />

for different users, multi-channel HARQ scheme is introduced to improve the performance. In<br />

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P. RENGARAJU, C.H. LUNG, A. SRINIVASAN, R.H.M. HAFEZ<br />

order to adapt to various link conditions and to efficiently utilize available bandwidth, in the<br />

present design <strong>of</strong> multi-Channel (or N-process) HARQ operation, the MAC Service Data Unit<br />

(MSDU) as well as the PHY Service Data Unit (PSDU) is <strong>of</strong>ten divided into several<br />

fragments. With Multichannel HARQ, the transmission and retransmission <strong>of</strong> the fragments<br />

are taken care <strong>of</strong> in multiple HARQ channels that run in parallel as shown in Fig.5<br />

Figure 5- Multi-channel HARQ [26]<br />

IEEE 802.16m draft versions support the multi-channel HARQ for the IMT advanced<br />

WiMAX network. The maximum number <strong>of</strong> parallel HARQ channels defined in the current<br />

system will render a potential bottleneck and preponderantly limit the overall system capacity<br />

<strong>of</strong> next generation WiMAX network, wherein the wireless link is anticipated to support much<br />

higher data rate. The shared multichannel HARQ for IEEE 802.16j and IEEE 802.16m<br />

networks is an on going research. In order to enhance the throughput performance and<br />

improve the preparedness <strong>of</strong> multichannel HARQ protocol for adoption by future 802.16j and<br />

802.16m system, adaptive fragmentation and ACID field expansions are introduced in [26].<br />

Network coding<br />

HARQ is adopted to transmit data packets reliably. However, it sacrifices resilience in time<br />

varying channels, and it may under-utilize the wireless medium in the cases <strong>of</strong> multipath and<br />

multi-hop transmissions. On the other hand, random wireless network coding (NC) has been<br />

shown to be effective towards improving throughput in multi-hop wireless networks. NC can<br />

be implemented with multi-channel HARQ to improve the performance <strong>of</strong> transmission<br />

efficiency, which is called as shared multi-channel HARQ.<br />

Header Compression [27]<br />

Robust Header Compression (ROHC), a standard header compression scheme proposed by<br />

IETF, Bidirectional Optimistic-O mode provides higher compression efficiency and<br />

robustness compared with Payload Header Suppression (PHS) which is an optional header<br />

compression scheme for mobile WiMAX. However, if consecutive packet losses occur<br />

because <strong>of</strong> a Shadow Region <strong>of</strong> Mobile WiMAX, header decompression failure rate <strong>of</strong> the<br />

ROHC-O mode increases. Therefore, a complementary mechanism is proposed in [27] using<br />

the dynamic adjustment <strong>of</strong> an optimistic parameter, which has an effect on both the<br />

compression efficiency and the robustness, for improving the performance <strong>of</strong> ROHC - O<br />

mode.<br />

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Framing<br />

The WiMAX uplink frame contains the random access channel for ranging and bandwidth<br />

request for BE service, Fast feedback channel to inform the channel conditions and user data<br />

channels. A proper frame allocation also leads to effective bandwidth usage <strong>of</strong> the system and<br />

some <strong>of</strong> it concentrates on the proper frame allocations to improve the QoS. To improve the<br />

system access success probability a mathematical basis for an accurate model is proposed in<br />

[28] ¸ that can be efficiently used to determine the resource allocation for each class. It also<br />

provides a useful analytical tool for contention systems that utilize random access for network<br />

entry, resource acquisition, and/or contention-based data transmission<br />

4. E2E AND CROSS LAYER QOS IMPROVEMENTS<br />

To assure the QoS/QoE for end user application it is not necessary to satisfy the QoS <strong>of</strong><br />

access network alone, the backhaul traffic in service provider’s connectivity network should<br />

satisfy the necessary QoS requirements. Here the E2E network considered for the analyses are;<br />

Homogeneous network and heterogeneous network.<br />

A. Homogeneous E2E QoS<br />

IEEE 802.16 networks provide mechanisms for QoS support at MAC level, but E2E QoS<br />

issues are not addressed in detail in the standards. Some kind <strong>of</strong> cross-layer work is needed to<br />

satisfy both the network and MAC layer QoS. Number <strong>of</strong> enhancements have been proposed<br />

to enable the <strong>of</strong>fering <strong>of</strong> different levels <strong>of</strong> QoS in IP networks including the integrated<br />

services (IntServ) architecture, and the differentiated service (DiffServ) architecture [29].<br />

IntServ is implemented by four components: the signalling protocol (e.g. RSVP), the<br />

admission control, the classifier and the packet scheduler. Furthermore, some rules are<br />

prescribed to classify DiffServ IP packets into different priority queues based on QoS<br />

indication bits in IP header. Therefore, the QoS architecture <strong>of</strong> WiMAX access network can<br />

support both IntServ and DiffServ. So the mapping rules are created between WiMAX MAC<br />

layer and IP layer.<br />

In traditional way, RSVP signalling message can be classified into a special high priority<br />

queue, and be transmitted in the second management connection. So the E2E resource is<br />

reserved for each connection to provide the network QoS. In the cross-layer approach, QoS<br />

mapping is created and the WiMAX MAC connection request message, Dynamic Service<br />

Addition (DSA) request carries the RSVP-PATH specific message. If the BS supports both<br />

MAC and network specific QoS, accepts the connection and informs it in the DSA response<br />

message. Since the communication in WiMAX network is connection-oriented; the<br />

application must establish the connection with the BS before data transmission. The message<br />

exchange for DSA and DSC can be deployed to carry QoS parameters <strong>of</strong> IntServ services for<br />

E2E resource reservation. For DiffServ services, on the other hand, a number <strong>of</strong> per-hop<br />

behaviors (PHBs) for different classes <strong>of</strong> aggregated traffic can be mapped into different<br />

connections directly.<br />

B. Heterogeneous E2E QoS<br />

Users shall be able to access its services through different access technologies, such as<br />

WLAN, WiMAX, UMTS and DVB technologies, from the same or different network<br />

operators, and to seamless move between different networks with active communications [31].<br />

The recent standardization efforts in the IETF for a new extensible IP signalling protocol suite<br />

(NSIS) describes the network layer signalling to provide network QoS. So the recent<br />

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P. RENGARAJU, C.H. LUNG, A. SRINIVASAN, R.H.M. HAFEZ<br />

researches are trying to integrate both WiMAX E2E architecture defined by the WiMAX<br />

forum and NSIS signalling architecture. The QoS NSIS Signalling Layer Protocol (QoS-<br />

NSLP) is used to signal the application QoS requirements and request the resource allocation<br />

along the full path <strong>of</strong> data flows. The NSIS protocol supports the interoperability between<br />

different QoS-enabled domains defining distinct QoS-Models (QOSM) depending on the<br />

underlying network technologies. The QoS-Model defines the QoS parameters, the traffic<br />

descriptors and the methods to provide the desired QoS through the Resource Management<br />

Function (RMF) specification for the NSIS nodes <strong>of</strong> a specific domain. The QoS parameters<br />

and the traffic descriptors are encapsulated in an object called QSPEC and are interpreted by<br />

NSIS nodes according to the QOSM. Two different types <strong>of</strong> QSPECs are defined: Initiator<br />

and Local QSPEC. The former is created by the QoS NSIS Initiator (QNI) and the later is<br />

created at the edge node between two QoS enabled domains through a coherent mapping <strong>of</strong><br />

the Initiator QSPEC parameters.<br />

Other cross layer improvements<br />

In multiuser scenario, channel gains <strong>of</strong> a specific subcarrier vary from one wireless terminal<br />

to another wireless terminal. At any given time in a large network for each sub-channel there<br />

is a high probability that there is a user whose OFDMA subcarrier assigned to the users who<br />

see good channel gains on them. Maximization <strong>of</strong> system performance can be achieved by<br />

allocating the OFDMA subcarriers to the users with good channel condition. The performance<br />

<strong>of</strong> the MAC functions such as CAC, sub-channel allocation, schedulers and HARQ modules<br />

depends more on the PHY channel condition.<br />

In [33], priority function is defined for each connection admitted in the system, and BS<br />

update it dynamically depending on the wireless channel quality, QoS satisfaction and service<br />

priority across layers. The connection with the highest priority is scheduled each time. The<br />

occupation <strong>of</strong> physical resource is an important feedback for the CAC to admit the new<br />

connection. In [34] the cross layer based CAC and sub-channel assignment is simulated,<br />

which takes the PHY layer channel information. In [35], channel aware WF2Q+ based<br />

scheduling for point-to-multipoint (PMP) network is simulated, where the weights <strong>of</strong> the<br />

service class is dynamically varied based on the channel condition. On the other hand, Blind<br />

channel aware schedulers leads to fairness issue since those schedulers result in optimal<br />

network resource utilization, it does not take into account each user’s QoS perspective. To<br />

avoid this problem utility function is used to strike a balance between system capacity and<br />

fairness among users is called proportional fairness (PF). In [32] channel aware PF schedulers<br />

are simulated.<br />

The new WiMAX networks are based on MIMO and RS nodes. So the diversity and multihop<br />

communication should be considered for the upcoming researches. In [7], the scheduling<br />

and radio resource allocations performed at BS is based on the PHY channel conditions. The<br />

BS uses a look-up table developed for point-to-point flat fading links with a given SNR<br />

conditions. For each sub-channel and for each user, the BS calculates the post processing<br />

SNR with relays and calculates the E2E throughput for each cooperative diversity<br />

communication. Finally it selects the best one and uses the same for data transmission.<br />

Based on wireless channel condition, adaptive fragmentation is <strong>applied</strong> for multi-channel<br />

HARQ to improve the performance <strong>of</strong> normal multi-channel HARQ [26].<br />

In adaptive random network coding [36], the channel state information can be used to<br />

dynamically construct the packets that could be better matched to the fluctuating channel<br />

conditions, so as to obtain a higher throughput.<br />

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5. CONCLUSION<br />

This paper provides a comprehensive discussion <strong>of</strong> recent works in WiMAX networks to<br />

support the required QoS for multimedia applications. In traditional communication networks,<br />

the open systems interconnection (OSI) layer architecture has been widely adopted, and the<br />

performance optimization is conducted largely within each individual protocol layer. This<br />

may work well for the wired and fixed wireless networks. On the other hand due to high<br />

mobility and high data rate support nature <strong>of</strong> 4G networks, the conventional OSI architecture<br />

may not work well to support the real time applications. This leads to the Cross-layer design<br />

approaches for efficient utilization <strong>of</strong> the scarce radio resources with QoS provisioning. At the<br />

same time Cross-layer design approaches are critical in nature. This paper summarized in one<br />

place most <strong>of</strong> the efforts being conducted in the cross-layer designs and QoS provisioning in<br />

4G networks.<br />

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Int’l Conf. on Management <strong>of</strong> mobile Business, 2007, pp 1-10.<br />

[26] T.Zhifeng, A.Li, J.Zhang and T.Kuze, “Performance Improvement for Multichannel HARQ<br />

Protocol in Next Generation WiMAX network”, IEEE WCNC, Ap.2008, pp 2009-2014.<br />

[27] Zhuoqun Li, Walter Featherstone and Stavros Tzavidas "Shared Multi- Channel HARQ" IEEE<br />

C802.16m-09/1335.<br />

[28] J Kim, H Woo, H Lee and M Lee “Dynamic adjustment <strong>of</strong> optimistic parameter <strong>of</strong> ROHC for<br />

performance improvement”, Int’l Conf. on nfo Net., 2009, pp 1-3.<br />

[29] J Chen, W Jiao and Q Guo, “An Integrated QoS Control Architecture for IEEE 802.16 Broadband<br />

Wireless Access Systems”, IEEE GLOBCOM, Vol. 6, 2005, pp 3330-3335.<br />

[30] Anand S.V, “QoS based Handover layer for a Multi-RAT Mobile Terminal in UMTS and Wi-<br />

MAX Networks”, 3rd Comm. Sys. S<strong>of</strong>t. And middleware workshop, 2008, pp 472-479.<br />

[31] S Sargento and V Jesus, etc., “Context-Aware End-to-End QoS Architecture in Multi-technology<br />

Multi-interface Environments”, 16 th IST mob. and wireless comm. summit, 2007, pp 1-5.<br />

[32] A Ukil and J Sen, “QoS Aware Cross-Layer Optimized Resource Allocation in WiMAX<br />

Systems”, 1st Int’l Conf. on wireless Comm. Veh. Tech., Info. theory and Areo space., 2009, pp<br />

818-822.<br />

[33] Q Liu, X Wang and G.B Giannakis, “Cross-Layer Scheduler Design with QoS Support<br />

forWireless Access Networks”, Proc. <strong>of</strong> 2nd Int’l Conf. on QoS in Het. Wired/Wireless Networks,<br />

2005.<br />

[34] B.Xie, W.Zhou and J.Zeng, “A Novel Cross-Layer Design with QoS Guarantee for WiMAX<br />

System”, 3rd Int’l Conf. on pervasive computing and App., 2008, pp 835-840.<br />

[35] A.Lera, A.Molinaro and S.Pizzi, “Channel-Aware Scheduling for QoS and Fairness Provisioning<br />

in IEEE 802.16-WiMAX BWA systems”,IEEE Network Magzine, 2007, pp 34-41.<br />

[36] J.Jin and B.Li, “Adaptive Random Network Coding in WiMAX”, IEEE Int’l Conf. on Comm.,<br />

2008, 2576-2580.<br />

[37] R.Perumalraja, C-H. Lung and S.Anand " An Analysis on mobile WiMAX Security", IEEE<br />

toronto Int'l Conf. on Science and Tech. for humanity, 2009, pp 439-444.<br />

118


AHU J. <strong>of</strong> Engineering & Applied Sciences 3 (1) : 119-128 (2010)<br />

© 2009 ALHOSN University<br />

THE SOLAR-WIND-EV PARADIGM: A STRATEGIC POLICY<br />

FOR A SUSTAINABLE ENERGY FUTURE<br />

Zuwei Yu 1 , Tarik Aouam 2*<br />

1 Choren USA and College <strong>of</strong> Engineering, Purdue University<br />

2 Department <strong>of</strong> Industrial Engineering, ALHOSN University, P.O. Box: 38722, Abu Dhabi, UAE<br />

ABSTRACT: The main idea <strong>of</strong> the proposed strategic policy is to speed up the deployment <strong>of</strong> Electric<br />

Vehicles (EVs) that can be fueled by solar and wind power. The solar-wind-EV marriage is a bright<br />

paradigm for solving major energy and environmental problems thanks to recent EV technology<br />

breakthroughs. To quantify the benefits <strong>of</strong> such a policy, we formulate a leader-follower gaming model,<br />

whose solution results characterize a significant decrease <strong>of</strong> oil prices, when there is a high penetration <strong>of</strong><br />

EVs. As a result, US oil imports would be reduced by nearly 60% from current levels, energy security<br />

would be much improved, and CO 2 emissions would be reduced significantly. The economic impact <strong>of</strong> the<br />

proposed policy is significant.<br />

Keywords: Solar; wind power; EV; oil; energy security; gaming.<br />

1. INTRODUCTION<br />

Oil consumption and oil dependence have caused severe energy security, environmental, and<br />

economical problems. The U.S. generated 50% <strong>of</strong> the CO 2 emissions in the category <strong>of</strong> passenger<br />

cars and light trucks, with a huge trade deficit, and reduced energy security [40]. Therefore, there<br />

is an urgent need for effective policies. One potential policy is the fast deployment <strong>of</strong> EVs with<br />

batteries that can be charged using solar and wind power.<br />

The California Air Resources Board (CARB) mandated a set <strong>of</strong> targets in the early 1990s for<br />

adopting EVs. However, these targets were either altered or disbanded due to technical and<br />

political barriers. CARB voted, in March 2008, to give EVs and HFCVs (hydrogen fuel cell<br />

vehicles) parallel treatment. Hydrogen vehicles can also help achieve the desired results but they<br />

are costly and may contribute to ozone damage due to leakages. The U.S. hydrogen initiative has<br />

been questioned even since it was promoted in 2003 [1]. The argument has been that it may be<br />

too expensive to deploy hydrogen passenger cars and light trucks. Unfortunately, policy makers<br />

never paid attention to the argument. Today, the hydrogen infrastructure is still badly lacking<br />

even with heavy subsidies. Should we wait for the hydrogen economy to come with a huge cost<br />

burden? No. Even if the cost <strong>of</strong> such an economy is not too prohibiting, a hydrogen economy<br />

would still require many years to develop. The HFCVs have much lower energy efficiency than<br />

the EVs. On the other hand, EVs have become a reality after several breakthroughs in 2007,<br />

including advanced batteries with a range <strong>of</strong> up to 250 miles per charge, a much reduced recharge<br />

time and the battery safety features [2].<br />

The paper will quantitatively analyze the impact <strong>of</strong> large scale deployment <strong>of</strong> EVs on oil<br />

demand, prices, and energy security. A gaming model is formulated to simulate oil price<br />

movements and energy security improvements when various EV penetration rates are assumed.<br />

____________________________________<br />

* Corresponding Author. Tel.: +971 4070562<br />

E-mail : t.aouam@<strong>alhosn</strong>u.ae<br />

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ZUWEI YU, TARIK AOUAM<br />

Figure 1. The annual average solar power in the continental U.S. (courtesy <strong>of</strong> NREL).<br />

An area <strong>of</strong> 100 square miles in the red zone <strong>of</strong> Figure 1 could provide the total US energy needs.<br />

In fact, such an area can provide 160,000 2 ×8kWh = 204,800,000 MWh/day <strong>of</strong> electricity. According<br />

to the 2004 EPRI-DOE Handbook: “Supplement <strong>of</strong> Energy Storage for Grid Connected Wind<br />

Generation Applications,” the U.S. peak demand was 808,000 MW in 2003, which may be converted<br />

to a peak electricity demand <strong>of</strong> no more than 820,000×24 = 19,200,000 MWh in 2008. Hence, the<br />

solar power in the 100 square mile area could provide the total U.S. energy needs.<br />

Wind resources are significant in the Great Plains; North Dakota alone has a wind power potential<br />

<strong>of</strong> 415,000 MW [13]. Some <strong>of</strong>fshore areas also have rich wind resources but with costs relatively<br />

high, [14]. The Great Plains can provide wind power at a price range around $60-80/MWh. Although<br />

wind is intermittent, wind power can be stored in large scale by the CAES (compressed air energy<br />

storage) technology [15]-[16]. Aquifer CAES systems can be used for efficient air compression, as<br />

pressure could be kept relatively constant to reduce excessive heat generation.<br />

2.2 EVS, PHEVs and HFCVs<br />

High performance zero emission EVs have been the dream cars for decades. California state<br />

legislators created the ZEV (zero emission vehicle) mandate back in 1990 after General Motors<br />

promised to mass-produce its battery-powered EV1 [17]. Unfortunately, battery development<br />

seriously lagged. Consequently, CARB repeatedly trimmed the quotas and allowed<br />

manufacturers to build a larger number <strong>of</strong> the so-called “partial zero-emissions vehicles.”<br />

The ZEV regulation came to a halt in 2003 when GM led a lawsuit arguing that CARB's ZEV<br />

mandate was regulating fuel efficiency, a power granted to the federal government. CARB settled<br />

the case by giving up the mandated EVs penetration rates and allowing automakers to research<br />

and commercialize HFCVs, beginning with the demonstration <strong>of</strong> fuel-cell cars by 2008. Partly<br />

due to the pressure from the automakers, CARB allowed fewer credits for EVs than for HFCVs<br />

until March 2008, when it voted again to give EVs and HFCVs parallel treatment.<br />

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THE SOLAR-WIND-EV PARADIGM: A STRATEGIC POLICY FOR A SUSTAINABLE ENERGY FUTURE<br />

The first breakthrough related to EVs was the development <strong>of</strong> li-ion and li-ion polymer<br />

batteries that have a range around 100 - 250 miles per charge. The second is that recharge times<br />

are about 10 minutes and the third was the safety features in batteries to guard against<br />

temperature rise and explosion [2]. In addition, the nano ultracapacitor technology has reached<br />

the demonstration stage, which may support a drive range <strong>of</strong> 500 miles per charge with a charge<br />

time less than 10 minutes [18] – [19]. In fact, the Honda FCX fuel cell vehicle has a small<br />

ultracapacitor installed to boost the power for acceleration. Several EV models are summarized in<br />

Table 1. Even though the sporty Tesla is priced at $98,000, several firms have been designing<br />

mid-size EVs that can be sold at prices from $20,000 to below $50,000. As a contrast, there have<br />

been no HFCVs promoted for sale in this price range.<br />

Table 1. Selected EV Models [24].<br />

Model Range Charge Energy Battery Country Launch<br />

(miles) time (min.) (kWh)<br />

Cleanova-II 130 ~30 30 Li-ion France 2008<br />

Dodge Zeo 250 n/a 64 Li-ion U.S. n/a<br />

F6e 64 ~10 n/a Iron China 2009<br />

GM Volt 40 n/a 8 Li-ion U.S. 2010<br />

Hotzenblitz 218 n/a ~40 PLIB Switzerland 2008<br />

Lighting GT n/a 10 35 Li-ion UK 2009<br />

Phoenix SUT 130 10 35 Li-ion U.S. 2008<br />

250 10 70 (nano)<br />

Regane/Mixim n/a n/a n/a Li-ion France/Japan 2010<br />

Subaru G4e 125 15 n/a Li-ion Japan 2008<br />

Tesla 220 210 53 Li-ion U.S. 2008<br />

PLIB – Polymer Li-ion battery, also used as Li-Po sometime.<br />

PP – peak power<br />

Table 2 shows convincingly the efficiency advantages <strong>of</strong> EVs over HFCVs. It is assumed that<br />

hydrogen is produced at renewable power generation sites so electricity losses are zero, which is<br />

quite optimistic. The data is from various sources (e.g. [20] - [23]) and modified based on our<br />

best knowledge (e.g. 9.3% <strong>of</strong> electricity losses instead <strong>of</strong> 10% in the U.S.) The efficiency<br />

comparison is based on the percentages <strong>of</strong> the same amount <strong>of</strong> electricity being delivered to the<br />

wheels <strong>of</strong> different vehicles. EVs are clearly twice as efficient as HFCVs. Notice that our<br />

estimate <strong>of</strong> the HFCV efficiency is consistent with other estimates. For example, a target<br />

efficiency <strong>of</strong> 42% is set for the fuel cell hybrid vehicles in the Toyota FCHV BOOK.<br />

Table 2. Estimated Energy Efficiency for EVs and HFCVs (%).<br />

Vehicle Power H 2 Power Battery Fuel cell Drive train Overall<br />

to H 2 * Compression<br />

T&D**<br />

or liquefaction<br />

EV 89-92.4 85-92 90-95 68-81<br />

HFCV 75-85 90-92 87-90 *** 55-60 90-95 29-40<br />

(gas)<br />

HFCV 75-85 65-70 94 *** 55-60 90-95 22.7-26<br />

(liquid)<br />

* Electrolysis is assumed and power supply losses are included. The upper limit is the target in the long run while 75% is attainable now.<br />

** In power T&D (transmission & distribution), the average efficiency is 90.7% and the average loss is about 9.3% .<br />

*** Most HFCV models also have small batteries installed to improve efficiency. The batteries also have charge/discharge losses which are not<br />

considered in this table due to their smaller sizes.<br />

121


ZUWEI YU, TARIK AOUAM<br />

Based on the results above, EVs would only need about half <strong>of</strong> the solar and wind power<br />

compared to the HFCVs for the same driving distance and same weight. That is, HFCVs would<br />

be twice as expensive as the EVs in terms <strong>of</strong> the renewable power infrastructure. As shown in<br />

Table 1, typical EVs (e.g., Tesla and Phoenix SUT) may need 0.25 – 0.3 kWh for driving one<br />

mile. If they are charged overnight, the cost <strong>of</strong> 1.0 kWh may be no more than 10 cents, resulting<br />

in a cost <strong>of</strong> about 3 cents per mile <strong>of</strong> EV driving. The cost <strong>of</strong> gasoline driven vehicles for the<br />

same one mile would then be 360 cents/21 = 17 cents, given that the gasoline price is $3.6/gallon<br />

and the average MPG is 21 (21 is the national average for cars and light trucks).<br />

Other advantages <strong>of</strong> EVs may include: much lower maintenance time and cost, overnight<br />

charging to smooth out the power load, greater safety factor than the HFCVs, minimization <strong>of</strong><br />

water use, no water vapor produced, etc. Results from the French postal service La Poste EV test<br />

program show that EVs can reduce operating costs significantly [25]. As a result, La Poste<br />

decided to replace its old fleet with EVs. However EVs have notable disadvantages, including<br />

their susceptibility to power outages and currently high investment cost. The first issue may not<br />

be an important concern because most families can buy one EV and one PHEV, while the second<br />

issue can be resolved by mass production and battery standardization. It should be noted that EVs<br />

are more reliable than PHEVs in the use <strong>of</strong> electricity from renewable sources, as there is no<br />

guarantee that PHEVs will be plugged-in due to various reasons including inconvenience and the<br />

possibility <strong>of</strong> gasoline price going down. In this paper, PHEVs are used for hedging the risks <strong>of</strong><br />

power outage rather than a reliable means to reduce oil consumption.<br />

3. THE LEADER-FOLLOWER GAMING MODEL<br />

The model is an extension <strong>of</strong> what we have developed previously for electricity analysis [10]. It<br />

is a 2-level leader-follower gaming model where the leaders’ Cournot gaming is in Level-1 while<br />

the fringe producers’ pr<strong>of</strong>it maximization is in Level-2, as described below.<br />

To facilitate the presentation, we first adopt the notations below:<br />

f fringe producer index<br />

s leader producer index<br />

t time period (in year)<br />

g strategic storage owner index (usually governments)<br />

i oil production field (or plant) index<br />

maximum oil production limit<br />

availability <strong>of</strong> oil production<br />

cost <strong>of</strong> oil production<br />

intercept <strong>of</strong> the linear (inverse) demand function<br />

slope <strong>of</strong> the linear demand function<br />

oil price<br />

pr<strong>of</strong>it <strong>of</strong> producer s<br />

oil produced by plant i<br />

oil sale by s<br />

Pmax( t, s, i)<br />

avail( t, s, i)<br />

Cv( t, s)<br />

a0( t)<br />

b( t)<br />

Price( t)<br />

( s)<br />

op(, t s,)<br />

i<br />

q(, t s)<br />

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THE SOLAR-WIND-EV PARADIGM: A STRATEGIC POLICY FOR A SUSTAINABLE ENERGY FUTURE<br />

The mathematical model for the leaders’ individual pr<strong>of</strong>it maximization in Level-1 can be<br />

summarized below:<br />

Minimize - ( s)<br />

<br />

<br />

<br />

a0() t b()( t qts (, ) qt (, f)) qts (, ) Cvtsioptsi (, ,) (, ,), st<br />

,<br />

<br />

s f <br />

i<br />

(1)<br />

optsi (, ,) availtsiP (, ,) max(, tsi ,), tsi<br />

, ,<br />

(2)<br />

qts (, ) optsi (, ,),<br />

ts<br />

,<br />

(3)<br />

i<br />

op( t, s, i) 0 t, s,<br />

i<br />

(4)<br />

qts ( , ) 0 ts ,<br />

(5)<br />

The Cournot strategy. (6)<br />

where q ’s are quantities from the fringe producers. Notice that (6) is not a regular constraint but<br />

rather a requirement that the Cournot quantity strategy will be used for developing a set <strong>of</strong><br />

pseudo Karush-Kuhn-Tucker (PKKT) first order conditions in the MCP formulation.<br />

The fringe producers’ pr<strong>of</strong>it maximization problem in Level 2 is:<br />

Max price() t q(, t f ) Cv(, t f ,) i op(, t f ,), i t,<br />

f<br />

(7)<br />

i<br />

s.t.<br />

op(t, f,i) avail(, t f ,)Pmax(, i t f ,), i t, f , i<br />

(8)<br />

qt (, f) opt (, f,) i,<br />

t,<br />

f<br />

(9)<br />

i<br />

op( t, f , i) 0 t, f , i<br />

(10)<br />

qt (, f) 0 t,<br />

f<br />

(11)<br />

Notice that price(t) is calculated from the solution <strong>of</strong> the Cournot-Nash gaming in Level-1 and<br />

fed to (7) as a fixed quantity.<br />

The solution procedure: An iterative method is developed that iterates between the leaders’<br />

MCP problem and the followers’ simple pr<strong>of</strong>it maximization problem. The MCP method by itself<br />

is verified to be an efficient solution procedure as describe in [12] – [13]. The method involves<br />

the conversion <strong>of</strong> the leaders’ problem (level-1) into a set <strong>of</strong> MCP conditions (or the PKKT<br />

conditions, as mentioned earlier), which can be found in our earlier studies and will not be<br />

repeated, [12]. The solution to the MCP equations can be obtained through the use <strong>of</strong> an MCP<br />

solver, for example, PATH or any others that work. The details <strong>of</strong> these MCP solvers can be<br />

found in reference [41]. The nodal prices, price(i), are calculated after the MCP equations are<br />

solved. The fringe producers’ problem is solved using a regular pr<strong>of</strong>it maximization solver. The<br />

whole solution process is an iterative one that can be summarized below.<br />

Step 1: Set fringe producers’ quantities qt (, f) 0.8 Pmax(, t f,)<br />

i.<br />

i<br />

Step 2: Solve the leaders’ problem using PATH.<br />

Step 3: Calculate price(t).<br />

Step 4: Check for convergence. If price(t) is within a preset tolerance from the price(t) <strong>of</strong> the<br />

last iteration, stop. Else, continue.<br />

Step 5: Solve pr<strong>of</strong>it maximization for all fringe producers. Go to Step 2.<br />

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ZUWEI YU, TARIK AOUAM<br />

Step 6: Stop.<br />

In this study, the convergence <strong>of</strong> the proposed iterative method for solving the 2-level model<br />

is very fast, <strong>of</strong>ten requiring only three iterations or so to reach the equilibrium nodal prices.<br />

4. CASE STUDIES<br />

In the first case study, California is assumed to lead the nation in adopting EVs with a 1%<br />

penetration in 2010 and a 2% in 2011, followed by a 3% nationwide EV penetration in 2012. The<br />

second case study examines a 5% EV penetration nationwide plus a 3% PHEV penetration. The<br />

third case, where OPEC and Eurasia form a coalition and no EVs and PHEVs are deployed, will<br />

serve as a reference scenario. Deployment <strong>of</strong> EVs could occur prior to large scale solar-wind<br />

power projects in regions where coal power is limited, such as California. Natural gas power<br />

plants can be used for charging EVs and reducing CO 2 emissions compared to conventional<br />

gasoline vehicles. The overall CO 2 reduction could be around 27% if PHEVs are charged by the<br />

existing power systems [26]. Conventional oil capacity expansion is taken from recent EIA<br />

studies including new fields discovered. The U.S. ethanol production is assumed to be in line<br />

with the U.S. House Bill HR-6 passed in late 2007 [27]. Oil from the Canadian oil sands is<br />

assumed to be in line with the projection by the Canadian Association <strong>of</strong> Petroleum Producers<br />

[28]. The CTL fuels such as the CTL diesel, gasoline, naphtha, DME (dimethyl ether) and<br />

methanol are based on the data in [29]. Bi<strong>of</strong>uels <strong>of</strong> other countries are from [30].<br />

4.1 Two leaders with a 3% annually EV penetration<br />

In this section, the reference “oil demand growth” is taken from recent EIA studies [31]-[32]<br />

but with some modifications. In the EIA studies, the annual oil demand growth rate <strong>of</strong> the U.S. is<br />

about 0.7% in 2000 – 2007, and about 5-6% for China (may decline to about 2.9% after 2020). It<br />

is assumed that the U.S. oil demand growth is about 0.2% in 2008 – 2012 due to economy slow<br />

down. We modify China’s growth rate so that it declines from 5% in 2010 to about 1% in 2022<br />

with equal annual decrements. We use lower oil demand growth rates than the EIA data in later<br />

years due to our belief that persistently high oil prices would slow down oil demand in the long<br />

run. EVs and PHEVs are considered separately as extra oil demand reduction.<br />

We assume a policy <strong>of</strong> 1% EV penetration in the sales <strong>of</strong> new cars and new light trucks in<br />

2010 and 2% in 2011 in California, followed by a 3% penetration in the U.S. and other OECD<br />

countries starting from 2012. We assume that the fast industrializing countries (e.g. China and<br />

India) would do the same but with a 3-year delay. The 2008 U.S. new car and light truck sales are<br />

around 16 million, as forecasted by the industry, about one million less than in 2005. We forecast<br />

that this number will be around 18 million in 2012 due to population increase. According to [33]-<br />

[34], the average driving distance for U.S. cars and light trucks is about 12,000 MPY (miles per<br />

year), with each consuming about 570 gallons per year (GPY) <strong>of</strong> gasoline on average. All <strong>of</strong> the<br />

factors are considered in the construction <strong>of</strong> the linear demand functions for the planning horizon<br />

starting from 2009. Notice that the fuel use <strong>of</strong> EVs is 0, which equals gasoline (or diesel) savings<br />

<strong>of</strong> 570 GPY in 2010.<br />

The results are summarized in Figure 2. One can see that if OPEC and Eurasia act like cartels<br />

and there is only an annual 3% EV penetration in the selected regions, oil prices would remain<br />

relatively high for the next 10 years or so. The reasons are multiple: high demand growth in<br />

developing countries for at least the next 8 years, limited capacity expansion from non-cartel<br />

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THE SOLAR-WIND-EV PARADIGM: A STRATEGIC POLICY FOR A SUSTAINABLE ENERGY FUTURE<br />

players, and little capacity expansion from the leaders. This case shows that a low EV penetration<br />

rate is not enough to bring down oil prices in the short run. As a result, oil demand remains<br />

relatively high, and energy security is still an issue for the U.S. for a while.<br />

4.2 Two leaders with 5% EV and 3% PHEV penetration<br />

In this case, we assumed an additional annual 3% PHEV penetration on top <strong>of</strong> the 5% EV<br />

penetration as described in case III.2. According to [33], each PHEV may consume 226.8 GPY <strong>of</strong><br />

gasoline by 2012, with an estimated fuel savings <strong>of</strong> 570-226.8 = 343.2 GPY. An extra 3% fuel<br />

reduction per year is also assumed for PHEVs beginning from 2012. For example, if 20 million<br />

cars and light trucks are sold in the U.S. in 2018, the gasoline savings from the 3% annual PHEV<br />

penetration would be 20million*(1.03^7-1)*343.2*(1.03^6)= 122,899 bpd (barrels per day) <strong>of</strong><br />

gasoline. The results are illustrated in Figure 2. The U.S. cumulative oil savings from both a 5%<br />

EV and a 3% PHEV penetration are illustrated in Figure 3. The total U.S. gasoline saving would<br />

be nearly 7.6 mbpd in 2024, which translates to at least 8.0 mbdp <strong>of</strong> crude oil saved. The savings<br />

would be about 60% <strong>of</strong> the current U.S. oil import (13.5 mbpd). Based on [40], one gallon <strong>of</strong><br />

gasoline emits about 5.3 pounds <strong>of</strong> CO 2 in the U.S. The CO 2 reduction from reduced oil import<br />

and consumption is then nearly 800,000 tons <strong>of</strong> CO 2 by 2024. Notice that we assume a 75%<br />

PHEV plug-in rate when oil prices are below $70/bbl (i.e., 25% <strong>of</strong> the PHEVs would not be<br />

plugged-in). Therefore, oil savings from PHEVs would be reduced somewhat after 2016.<br />

We can see that due to the additional PHEV penetration in new car and light truck sales<br />

starting from 2012, oil prices are further reduced. By the end <strong>of</strong> the study horizon, prices would<br />

be around the lower $50/bbl (or even below $50/bbl by 2022). The prices at this level would be<br />

welcomed by the consumers, who would also be assumed to have a positive attitude toward fuel<br />

efficiency (i.e., most <strong>of</strong> the consumers would be assumed to purchase EVs and PHEVs around<br />

2020).<br />

4.3 Coalition between OPEC and Eurasia without EVs and PHEVs<br />

In this case study, we assume that OPEC would form a coalition with Eurasia so that the two<br />

behave like a single cartel. We assume that there would be no EVs and PHEVs deployment. This<br />

scenario will serve as a reference and will show characterize extreme oil prices as depicted in<br />

Figure 2. We can see that if OPEC and Eurasia form a single cartel to coordinate their output, and<br />

if there is no EV and PHEV penetration while hybrid penetration is at the current level, the world<br />

oil prices would be over $160/bbl by 2022.<br />

US oil sales.<br />

125


ZUWEI YU, TARIK AOUAM<br />

$/bbl (2007$)<br />

180<br />

160<br />

140<br />

120<br />

100<br />

80<br />

60<br />

III.1<br />

III.2<br />

III.3<br />

40<br />

20<br />

0<br />

2008 2010 2012 2014 2016 2018 2020 2022<br />

Year<br />

Figure 2. Plot <strong>of</strong> the simulated prices (The 2008 price is from EIA [32]).<br />

8000000<br />

bpd (oil import reduction)<br />

7000000<br />

6000000<br />

5000000<br />

4000000<br />

3000000<br />

2000000<br />

1000000<br />

0<br />

2010<br />

2011<br />

2012<br />

2013<br />

2014<br />

2015<br />

2016<br />

2017<br />

Year<br />

Figure 3. U.S. oil savings in case III.2.<br />

2018<br />

2019<br />

2020<br />

2021<br />

2022<br />

2023<br />

2024<br />

More case studies and scenarios can be done. However, except for extreme cases such as the<br />

closure <strong>of</strong> the Hormuz Straight, most other likely scenarios would fall between Cases III.1 and<br />

III.3. The price movement curves would fall between the curves <strong>of</strong> Cases III.1 and III.3.<br />

5. CONCLUSION<br />

U.S. policy makers have failed to include EVs in the national energy policy. As a result, federal<br />

support for EV research and development has been almost non-existent. Fortunately, private<br />

sectors have been leading R&D and production <strong>of</strong> EVs through venture investments over the<br />

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THE SOLAR-WIND-EV PARADIGM: A STRATEGIC POLICY FOR A SUSTAINABLE ENERGY FUTURE<br />

past several years. It is time to revisit national and international energy policy in the era <strong>of</strong> global<br />

warming, increasing oil demand and production gap, and energy security. Several policy issues<br />

should be reevaluated.<br />

First, we notice that the infrastructure for EVs is not as massive as for HFCVs. The majority<br />

<strong>of</strong> the current power network can be used to charge EVs overnight due to a much lower power<br />

demand during the night than during the day. Parking lot charging facilities may be constructed<br />

near places such as <strong>of</strong>fices, shopping centers, sport and game areas, and even gas stations. These<br />

actions require regulatory reforms in the utility sector.<br />

Second, policy makers should help facilitate the research, demonstration and deployment <strong>of</strong><br />

EVs. The U.S. may need to redirect some funding from HFCVs to EVs for project demonstration.<br />

Third, bi<strong>of</strong>uel quotas should be reduced. In fact, bi<strong>of</strong>uel production has been causing food<br />

prices to rise globally without solving much <strong>of</strong> the U.S. oil problems. Some recent studies show<br />

that bi<strong>of</strong>uel may damage the environment. Expanded land cultivation causes carbon dioxide to<br />

escape from the soil into the atmosphere, leaving a carbon deficit from 17 years to more than 420<br />

years depending on the land cleared for ethanol production [37]. Several OECD countries have<br />

now either cut back or been considering cancelling subsidies to some bi<strong>of</strong>uels due to new<br />

findings on bi<strong>of</strong>uel-related problems [39].<br />

Finally, government should subsidize EVs. One <strong>of</strong> the issues policy should address is how to<br />

overcome the car market entry barriers.<br />

6. REFERENCES<br />

[1] D.W. Keith, A.E. Farrell, “Rethinking <strong>of</strong> Hydrogen Cars,” Science, Vol. 301, no. 5631, July 18, 2003.<br />

[2] D. Schneider, “Who’s Resuscitating the Electric Car?” American Scientist Magazine, Sept-Oct., 2007.<br />

[3] J. Grinffin, “OPEC Behavior: A Test <strong>of</strong> Alternative Hypothesis,” The American Economic Review,<br />

Vol. 75 1985, pp. 954-963.<br />

[4] S. Gülen, “Is OPEC Cartel? Evidence from Cointegration and Causality Tests,” The Energy Journal,<br />

April 1996.<br />

[5] S. Shaffer, “Stable Cartel with a Cournot Fringe,” Southern Economic Journal, Vol. 61, 1995, pp. 744-<br />

754.<br />

[6] E. Diamantoudi, “Stable Cartel Revisited,” Economic Theory, vol. 26(4), 2005, pp. 907-921.<br />

[7] A. Tuzuner, Z. Yu, “A Stochastic Gaming Framework for Analyzing Market Potentials and Risks <strong>of</strong><br />

CTL,” in Proceedings <strong>of</strong> the Pittsburgh Coal Conference, Sept. 2006.<br />

[8] Z. Yu, B. Bowen, “Integrated Energy Resource Planning Approach to the U.S. Energy Security<br />

Issues,” Oil, Gas, Energy & Law, Nov. 2007.<br />

[9] Z. Yu, F.T. Sparrow, T. Morin, G. Nderitu, "A Stackelberg Price Leadership Model for Deregulated<br />

Electricity Markets," Proceedings <strong>of</strong> the IEEE PES Winter Meeting, Singapore, January 2000.<br />

[10] Z. Yu, P. Preckel, F.T. Sparrow, D. Nderitu, “A Strategic Power Market Model with CO2 Limits,”<br />

International Journal <strong>of</strong> Electric Power & Energy Systems, Vol. 23, no. 6, 2001.<br />

[11] B. F. Hobbs, “Linear complementarity models <strong>of</strong> Nash–Cournot competition in bilateral and<br />

POOLCO power markets,” IEEE Trans. Power Syst., vol. 16, no. 2, pp. 194–202, May 2001.<br />

[12] Penn Well, “Solar Power - Utility-scale sun power,” Power Engineering, June 2007.<br />

[13] Pacific Northwest National Laboratory, “An Assessment <strong>of</strong> the Available Windy Land Area and<br />

Wind Energy Potential in the Contiguous United States,” a reported prepared for the Department <strong>of</strong><br />

Energy (DOE), 1991.<br />

[14] PACE, “Assessment <strong>of</strong> Offshore Wind Power Resources,” prepared for Long Island Power<br />

Authority, August 22, 2007.<br />

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ZUWEI YU, TARIK AOUAM<br />

[15] P. Vadasz, “Compressed Air Energy Storage: Optimal Performance and Techno-Economical<br />

Indices,” Int. J. Applied Thermodynamics, Vol.2, No.2, pp. 69-80, June-1999.<br />

[16] J. Greenblatt, S. Succar, D. Denkenberger, R. Williams, “Toward optimization <strong>of</strong> a wind/compressed<br />

air energy storage (CAES) power system,” Electric Power Conference, Baltimore, MD, March 30-<br />

April 1, 2004.<br />

[17] P. Fairley, “California to Rule On Fate <strong>of</strong> EVs,” IEEE Spectrum, Nov. 2007.<br />

[18] J. Schindall, “The Charge <strong>of</strong> Ultracapacitors,” IEEE Spectrum, Nov. 2007, pp. 42-46.<br />

[19] A. Westervelt, B. Brun, “Two Batteries,” published by The Sustainable Industries, Jan. 4, 2008.<br />

[20] U. Bossel, “Efficiency <strong>of</strong> Hydrogen Fuel Cell, Diesel-SOFC-Hybrid & Battery Electric Vehicles,”<br />

European Fuel Cell Forum, Oct. 20, 2003.<br />

[21] K. Wipke, et al., “Learning Demonstration Interim Progress Report –Summer 2007,” NREL/TP-560-<br />

41848, July 2007.<br />

[22] Stephen Eaves, and James Eaves, “A cost comparison <strong>of</strong> fuel-cell and battery electric vehicles,”<br />

Journal <strong>of</strong> Power Sources, Vol. 130, Issues 1-2, May 3 2004, pp. 208-212.<br />

[23] GAO, “Hydrogen Fuel Initiative,” Government Accountability Office: Report to Congressional<br />

Requesters, GAO-08-305, Jan. 2008.<br />

[24] Z. Yu, “Wind power and transportation: A bridge to energy security,” Proceedings <strong>of</strong> the IEEE PES<br />

eit conference, May 18-21, 2008, Iowa State University.<br />

[25] D. Guthier-Villars, “Electric Cars Gather Speed,” The Wall Street Journal, March 4, 2008.<br />

[26] M. Kintner-Meyer, K. Schneider, R. Pratt, “IMPACTS ASSESSMENT OF PLUG-IN HYBRID<br />

VEHICLES ON ELECTRIC UTILITIES AND REGIONAL U.S. POWER GRIDS,” a report prepared<br />

for DOE, Pacific Northwest National Laboratory, Nov. 2007.<br />

[27] HR 6, “The Energy Independence and Security Act <strong>of</strong> 2007,” the U.S. House <strong>of</strong> Representatives,<br />

Dec. 2007.<br />

[28] CAPP, “Canadian Oil Sands Outlook,” a report prepared by the Canadian Association <strong>of</strong> Petroleum<br />

Production, Sept. 2007.<br />

[29] Z. Yu, T. Aouam, “A Monte Carlo Gaming Model for Analyzing the 21C World Oil Markets with<br />

PHEVs,” a book chapter accepted by the NOVA Science Publishers, to appear in 2008.<br />

[30] “Bi<strong>of</strong>uel Market Worldwide,” a report prepared by Biotechnology, July 2006.<br />

[31] EIA, “The 2007 Annual Energy Outlook,” released in June 2007.<br />

[32] EIA, “The Short-Term Energy Outlook 2008,” released in Jan. 2008.<br />

[33] EPRI (Electric Power Research Institute), “Environmental Assessment <strong>of</strong> Plug-In Hybrid Electric<br />

Vehicles,” a report prepared for DOE, July 2007.<br />

[34] NREL (National Renewable Energy Laboratory), “Field Operations Program - Overview <strong>of</strong><br />

Advanced Technology Transportation,” a report prepared for the U.S. DOE, July 2000.<br />

[35] J. Olsen, “Electric Car System Planned in Denmark,” The Associated Press, March 27, 2008.<br />

[36] T.K. Tromp, R. Shia, M. Allen, J.M. Eiler, and Y.L. Yung, “Potential Environmental Impact <strong>of</strong> a<br />

Hydrogen Economy on the Stratosphere,” Science 13 June 2003: Vol. 300. no. 5626, pp. 1740 – 1742<br />

[37] J. Fargione, J. Hill, D. Tilman, S. Polasky, P. Hawthorne, “Land Clearing and the Bi<strong>of</strong>uel Carbon<br />

Debt,” Science online publication, Feb. 7, 2008.<br />

[38] P.J. Crutzen, A.R. Mosier, K.A. Smith, and W. Winiwarter, “N 2 O release from agro-bi<strong>of</strong>uel<br />

production negates global warming reduction by replacing fossil fuels,” Atmospheric Chemistry and<br />

Physics Discussion, Vol. 7, 11191-11205, 2007.<br />

[39] E. Rosenthal, “Europe, Cutting Bi<strong>of</strong>uel Subsidies, Redirects Aid to Stress Greenest Options,” The<br />

New York Times, Jan. 22, 2008.<br />

[40] J. DeCicco, F. Fung, “Global Warming on the Road – The Climate Impact <strong>of</strong> American’s<br />

Automobiles,” Environmental Defense, 2006.<br />

[41] GAMS – The Solver Manuals, GAMS Development Corporation, 2004.<br />

128


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