Lisø PhD Dissertation Manuscript - NTNU
Lisø PhD Dissertation Manuscript - NTNU
Lisø PhD Dissertation Manuscript - NTNU
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
cost of repairing process-induced building defects in<br />
Norway amounts to 5% of the annual capital invested<br />
in new buildings (Ingvaldsen, 1994). Ingvaldsen also<br />
found that this estimate was in good agreement with<br />
13 corresponding investigations or sources of information<br />
in other European countries (with a mean estimate<br />
varying between 3 and 5%). Correcting faults<br />
and repairing defects in buildings during the construction<br />
process is estimated to cost roughly the same as<br />
repairing buildings in use, e.g. another 5% (Ingvaldsen,<br />
1994). With an annual investment in refurbishment<br />
and new construction of 130 billion Norwegian<br />
kronor (as of 2003), it is therefore reasonable to estimate<br />
that up to 13 billion kronor is being spent on<br />
repairing defects or damage to buildings every year.<br />
NBI has more than 5000 process-induced building<br />
defect assignment reports in its archives, which is a<br />
considerable source of experience-based knowledge.<br />
Results from a preliminary review of assignments<br />
investigated in the decade between 1993 and 2002<br />
(2378 building defect cases registered and described<br />
in 2045 assignment reports) show that defects related<br />
to the building envelope constitute about two-thirds<br />
of the investigated cases (<strong>Lisø</strong> et al., 2005a, b). Moisture<br />
as the main source causing the defect accounts for<br />
as much as 76% of all investigated cases in that decade.<br />
Many types of building defect cases are recurring items,<br />
which indicates a general lack of knowledge amongst<br />
the different actors in the construction industry concerning<br />
fundamental principles of building physics.<br />
These findings support earlier investigations concluding<br />
that the construction industry is unable to learn<br />
from past experience and that the exchange of knowledge<br />
in construction projects is unsatisfactory (e.g. <strong>Lisø</strong><br />
et al., 2000).<br />
A field investigation of a random sample of 20 existing<br />
low-rise buildings with large spans (e.g. schools, sports<br />
buildings and industrial buildings) situated in areas<br />
exposed to high wind action and extreme snowfall in<br />
Norway shows that 18 of these buildings do not meet<br />
current regulatory requirements relating to safety<br />
against collapse owing to snow loads and wind<br />
action (Meløysund et al., accepted).<br />
Projected changes in climatic conditions will further<br />
enhance vulnerability within the construction industry<br />
and the built environment.<br />
Key de¢nitions<br />
At the outset of this paper, it is sensible to clarify a few<br />
key definitions to be used in further discussions on riskmanagement<br />
and decision-making instruments.<br />
‘Risk’ is termed here as a function of the probability of<br />
undesirable events and the subsequent consequences of<br />
these (Norges offentlige utredninger (NOU), 2000),<br />
Integrated approach to risk management of future climate change impacts<br />
and in the International Standardisation Organisation<br />
(ISO)/IEC Guide No. 73:2002 (ISO, 2002), it is<br />
defined as a ‘combination of the probability of an<br />
event and its consequence’. Risk expresses the potential<br />
loss of important values as a consequence of undesirable<br />
events, e.g. adverse social, economic and technical<br />
implications of climate change in the built environment.<br />
Risk-reducing measures or activities are normally<br />
assessed with reference to quantitative risk<br />
acceptance criteria.<br />
‘Risk management’ is defined in ISO (2002, p. 4) as<br />
‘coordinated activities to direct and control an organization<br />
with regard to risk’. Risk management implies<br />
that undesirable outcomes can be avoided, but where<br />
they are unavoidable, they can be mitigated if connections<br />
between cause and effect are properly defined<br />
(Jaeger et al., 2001).<br />
‘Risk analysis’ provides a basis for the evaluation of<br />
risk and is defined as ‘systematic use of information<br />
to identify sources (having a potential for a consequence)<br />
and to estimate the risk’ (ISO, 2002, p. 5).<br />
The risk of adverse impacts as a consequence of<br />
climate change is not well determined, and the riskmanagement<br />
principle adopted should be the ALARP<br />
principle: the risk should be reduced to a level that is<br />
‘as low as reasonably practicable’.<br />
The Intergovernmental Panel on Climate Change<br />
(IPCC) definitions of sensitivity, adaptability and<br />
vulnerability are as follows (McCarthy et al., 2001):<br />
‘Sensitivity’ is the degree to which a system is<br />
affected either adversely or beneficially, by<br />
climate-related stimuli. Climate-related stimuli<br />
encompass all the elements of climate change,<br />
including mean climate characteristics, climate<br />
variability, and the frequency and magnitude of<br />
extremes. The effect may be direct (e.g. a<br />
change in crop yield in response to a change in<br />
the mean, range or variability of temperature)<br />
or indirect (e.g. damages caused by an increase<br />
in the frequency of coastal flooding due to sealevel<br />
rise).<br />
‘Adaptive capacity’ is the ability of a system to<br />
adjust to climate change, including climate variability<br />
and extremes, to moderate potential<br />
damages, to take advantage of opportunities, or<br />
to cope with the consequences.<br />
‘Vulnerability’ is the degree to which a system is<br />
susceptible to, or unable to cope with, adverse<br />
effects of climate change, including climate variability<br />
and extremes. Vulnerability is a function of<br />
the character, magnitude and rate of climate<br />
change and variation to which a system is<br />
exposed, its sensitivity, and its adaptive capacity.<br />
3