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4.2.2 Modeling the Data Using Standard Probability DistributionsThe data in Figure 1, combined into method of repair groups using combinationMethod Two as discussed in Section 4.2.1, were used to generate fragility functionsdefining the probability that a joint would require at least a particular method of repairgiven a specific value of an EDP. Standard cumulative probability distributionfunctions (CDFs) may be used to define fragility functions. In the current study, threestandard CDFs were calibrated to fit the data using the Method of MaximumLikelihood. The standard distributions considered included• Lognormal distribution: Commonly employed distribution. Requirespositively valued data.• Weibull distribution: Less commonly used distribution. The distributionallows for a stronger influence of extreme-valued data. This is desirable forthe current application where small-demand values are important.• Beta distribution: Less commonly used distribution. Allows for an upper andlower bound to be defined for the distribution, which may be desirable forthe current application.The three CDFs were tested using three standard goodness-of-fit tests to identifya preferred distribution for use in modeling the data:• The Chi-Square test: For accurate results, this test requires that the totalnumber of data points exceed 50. This was not the case here, so the accuracyof these results is questionable.• The Kolmogorov-Smirnov (K-S) test: This test is exact for all sample sizes,but requires that the distribution parameters not be estimated from the data.This was not the case here, so the accuracy of this test also is questionable.• The Lillefors test: This test is exact for all sample sizes and is designed forsituations in which distribution parameters are estimated from the data set.This test is appropriate only for the normal distribution; however, byconsidering the log of the data, this test can be used to evaluate thelognormal distribution. This was done for the current study.Application of these tests indicated that the Beta distribution was not appropriatefor use in modeling the data and that the Weibull and lognormal distributions wereequally good. The lognormal distribution was chosen as the preferred distribution forthis study because of its widespread use in comparison to the Weibull distribution.4.2.3 Proposed Fragility FunctionsFigure 2 shows the proposed fragility functions linking method of repair with EDP forthree of the five EDPs. Given a specific EDP value and a specific method of repair,these models define the probability that joint damage will be such that, at a minimum,the specific method of repair will be required to restore the joint to its originalcondition. Fragility functions are shown only for three of the five proposed EDPsbecause only for these EDPs do the fragility functions have well spaced means andlow coefficients of variation. These factors result in the progression from a relatively218
low probability of requiring a specific method of repair to a relatively high probabilityoccurring over a very small EDP range, and thus make the fragility function bettersuited for use in predicting economic impact. Note that for the functional EDPdefined by maximum joint shear strain and number of load cycles, a fragility functionis not provided for method of repair 4, as insufficient data were available forcalibration of this function.Probability of Requiring a MORProbability of Requiring a MOR10.90.80.70.60.50.4MOR 00.3MOR 10.2MOR 2MOR 30.1MOR 400.0 1.0 2.0 3.0 4.0 5.0 6.0(a) drift10.90.80.70.60.50.40.3MOR 0MOR 10.2MOR 2MOR 30.1MOR 400 0.2 0.4 0.6 0.8 1.0 1.2(b) F(D,N) per Eq. 210.90.80.70.6Grey lines are the0.5empirical fragility0.4functions and black0.3MOR 0lines are defined0.2MOR 1using the lognormalMOR 20.1MOR 300 0.2 0.4 0.6 0.8 1.0 1.2© F(γ,N) per Eq. 3Figure 2. Probability of meeting or exceeding a method of repair (MOR).5. CONCLUSIONSThe results of previous research as well as the practical experience of structuralengineers and contractors were used as a basis for developing probabilistic definingthe method of repair required to restore a pre-1967 joint to original condition as afunction of traditional engineering demand parameters. These models provide a basisfor evaluating the economic impact of earthquake loading of a building. Multipleapproaches were considered in developing the probabilistic models. It was found thatdefining engineering demand using inter-story drift or a nonlinear function of interstorydrift and number of load cycles resulted in the best models. It was found also219
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PERFORMANCE-BASED SEISMIC DESIGNCON
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CONTENTSTable of Contents..........
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REAL-TIME DYNAMIC HYBRID TESTING OF
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PREFACEThe workshop on “Seismic D
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LIST OF PARTICIPANTSSergio M. Alcoc
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RESOLUTIONSThe International Worksh
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CONCLUSIONS AND RECOMMENDATIONSThe
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nonlinear dynamic) and when they sh
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exists to develop testing protocols
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to be sent soon to the 28 members o
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factor γ I is 1.4 or 1.2 for essen
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i. The well-known relation µ θ -
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γ s =1.15. Values less than 1.0 me
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efore (factor α in Eq.(4)). Materi
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the force demand from the analysis,
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OVERVIEW OF A COMPREHENSIVE FRAMEWO
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ground motion Intensity Measure (IM
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2.2 Simulation of Engineering Deman
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describing the economic losses asso
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practice the localized gravity load
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Whereas financial and insurance org
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AN OUTLINE OF AIJ GUIDELINES FOR PE
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(7) a method of performance evaluat
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where, T: natural period of structu
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6. DAMAGE AND LIMIT DEFORMATIONSThe
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The limit inter-story deformations
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DirectionX-directionY-directionSkew
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HAZARD, GROUND MOTIONS AND PROBABIL
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of events with [X1>x 1 , X 2 >x 2 ,
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2.4 Option C: Sufficient IMs: Estim
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predictions and hence required samp
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PEER has put forward PBSA methodolo
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3.2.1 A DCF Displacement-Based Form
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parameter k (the slope of the hazar
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POST-EARTHQUAKE FUNCTION OF HIGHWAY
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ln( EDP) a b ln ( IM )= + (1)Probab
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terms of global and local bridge pe
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Figure 3. Bridge column component d
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5.2 Method B: MDOF Residual Displac
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calculated using a 2 dimensional mu
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MODELING CONSIDERATIONS IN PROBABIL
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location. Transverse reinforcement
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2.50.1000Spectral Accel. (g)2.01.51
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Results indicate that 33% of the re
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4.1.2 Elastic vs. Inelastic ModelsF
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The increased dispersion leads to h
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AN ANALYSIS ON THE SEISMIC PERFORMA
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The survey stood on the condition t
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who decide the design force levels
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It is interesting to clarify whethe
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concluded that the dependence of in
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Table 10. Problems of performance-b
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DEVELOPMENT OF NEXT-GENERATION PERF
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ground shaking hazard, probable str
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Vulnerability of buildings to losse
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Peak Interstory Drfit Ratio0.120.10
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Conditional Probability ofDamage St
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Probability of Non-Exceedance10.80.
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APPLICATIONS OF PERFORMANCE-BASED E
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PRACTICAL ADAPTATION FOR STAKEHOLDE
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cost premium for the more expensive
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The future techniques will improve
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Benefit-cost ratio(BCR) 2.5UC Berke
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motivation to change the way they w
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CHANGING THE PARADIGM FOR PERFORMAN
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Ideally, the preliminary design of
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ModelM1M2M3Table 1. Description of
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Sample results from the response-hi
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In FEMA 273/356, the intersection o
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(M8 and M9) and the isolated frames
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THE ATC-58 PROJECT PLAN FOR NONSTRU
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The development of next-generation
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for these flexible nonstructural co
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spectra is several times larger tha
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The variability is associated with
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functions for a wide variety of non
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SIMPLIFIED PBEE TO ESTIMATE ECONOMI
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One can show (Porter et al. 2004) t
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( )FDM| EDP= xdm = 1 −FRdm , + 1,
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1. Facility definition. Same as in
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Table 1. Approximation of seismic r
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The EAL values shown in Figure 3 mi
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ASSESSMENT OF SEISMIC PERFORMANCE I
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where e -λτ is the discounted fac
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IDR 3[rad]σPFAIDR34(g)σ PFA4media
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Figure 3a, shows an example of frag
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P(C LVCC i |IM )1.00.80.60.40.20.00
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E [ L T | IM ]$ 10 M$ 8 M$ 6 M$ 4 M
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SEISMIC RESILIENCE OF COMMUNITIES
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2. RESILIENCE CONCEPTSResilience fo
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quantification tools could be used
Page 184 and 185: structure remains elastic. This is
Page 186 and 187: of Figure 7a will be used. It is as
Page 188 and 189: Nigg, J. M. (1998). Empirical findi
Page 190 and 191: acceleration with a 475-year return
Page 192 and 193: limit states, the suggestions given
Page 194 and 195: ∆NSLsi= SϑH(5)iTFor column-sway
Page 196 and 197: Pinto et al., 2004). The probabilit
Page 198 and 199: The main difficulty in assigning a
Page 200 and 201: Crowley, H., R. Pinho, and J. J. Bo
Page 202 and 203: analytical models generally have si
Page 204 and 205: Figure 2. Structure of the response
Page 206 and 207: can be used as a random variable of
Page 208 and 209: 4. DERIVATION OF THE VULNERABILITY
Page 210 and 211: 5. CONCLUSIONSDerivation of vulnera
Page 212 and 213: REFERENCESAbrams, D. P., A. S. Elna
Page 214 and 215: In general, these types of bench-mo
Page 216 and 217: where & x&(t ) = acceleration at th
Page 218 and 219: science building. The lateral load-
Page 220 and 221: emain the same, the magnitude of sl
Page 222 and 223: of sliding thresholds, are desirabl
Page 224 and 225: Retrofit of Nonstructural Component
Page 226 and 227: was developed to accommodate these
Page 228 and 229: tested by Meinheit and Jirsa are us
Page 230 and 231: where D is the maximum drift and N
Page 232 and 233: in predicting damage as well as rep
Page 236 and 237: that the defining demand using a no
Page 238 and 239: • The influence on the dynamic re
Page 240 and 241: deviations σ and correlation coeff
Page 242 and 243: The first three modes of vibration
Page 244 and 245: Details about the ten records selec
Page 246 and 247: to allow a quantitative assessment
Page 248 and 249: Cornell A. C., F. Jalayer, R. Hambu
Page 250 and 251: limited possibilities of overcoming
Page 252 and 253: uildings, up to five stories high (
Page 254 and 255: Efficiency η, %100806040203D-RWBW-
Page 256 and 257: Table 1. Performance criteria for c
Page 258 and 259: Because the analytical model strong
Page 260 and 261: REFERENCESAguilar, G., R. Meli, R.
Page 262 and 263: tests of its type ever conducted. T
Page 264 and 265: end work-point to work-point). And
Page 266 and 267: Fig. 5 shows the actual application
Page 268 and 269: 3Roof Disp. (mm)250200150100500-50-
Page 270 and 271: Base Shear (kN)Base Shear (kN)40002
Page 272 and 273: 8. CONCLUSIONSBased on the test and
Page 274 and 275: REAL-TIME DYNAMIC HYBRID TESTING OF
Page 276 and 277: :::::2004) can be formulated using
Page 278 and 279: The structure to be simulated is di
Page 280 and 281: measurements, to the modeling of th
Page 282 and 283: Figure 8. Two stories (left) and hy
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ROLES OF LARGE-SCALE TEST FOR ASSES
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mid-height in the third story, at w
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cycles were repeated for each ampli
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the tests with ALC panels were excl
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the relationship between the moment
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attachment details adopted for inst
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FULL-SCALE LABORATORY TESTING: STRA
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economic losses resulting from the
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4. OBJECTIVES AND OUTCOME OF STRUCT
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15001000500Shear [kN]0-8.0 -6.0 -4.
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5.1 3D Tests on a Torsionally Unbal
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Non-linear substructuring was recen
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PERFORMANCE BASED ASSESSMENT — FR
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4 x 50 m = 200 mC1 C2 C3h u = 7 mh
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some procedures are (contrary to th
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5 th floor disp. [cm]0.60.0-0.6CC =
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While the global drift of the build
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the use of such connections in eart
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I d = 0.25elastic limitmaximum resi
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As regards the influence of differe
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ON GROUND MOTION DURATION AND ENGIN
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time between the first and last acc
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FyFyFyFFFkk0.03kδδδcover a large
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T5b, T13a, T13b, T20a and T20b can
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Tabled results show that in the cas
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0 0.25 0.5 0.75 1Dkin PfSa[g]0 0.25
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ON DRIFT LIMITS ASSOCIATED WITH DIF
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BehaviourElasticInelasticCollapseDa
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Other factors such as the applied l
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4. MOMENT RESISTING FRAMES4.1 Ducti
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5Ductility factor432100 0.2 0.4 0.6
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5.1 Flexural Structural WallsAn exa
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MODAL PUSHOVER ANALYSIS: SYMMETRIC-
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Floor963SeattleNonlinear RHAFEMA1st
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The peak modal demands r n are then
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9BostonSeattleLos AngelesFloor63RSA
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5. EVALUATION OF MPA: UNSYMMETRIC-P
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Without additional conceptual compl
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AN IMPROVED PUSHOVER PROCEDURE FOR
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for a response governed by the fund
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2.2 Modal ScalingThe principal aim
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2.3 Pushover-History AnalysisSubsti
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(3) Calculate cumulative scale fact
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46.4 58 58 58 58 58 58 58 58 58 58
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EXTENSIONS OF THE N2 METHOD — ASY
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The strength reduction factor due t
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The relations apply to SDOF systems
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in X-direction pushover curves prac
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As an example, an idealized force-d
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The IN2 curve can be used in the pr
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HORIZONTALLY IRREGULAR STRUCTURES:
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Dutta and Das (2002, 2002b and refs
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They tested the procedure on three
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Table 1. Properties of the 4 WallsW
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The following is a summary of two s
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ectangular concrete deck supported
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REFERENCESAlmazan, J. L., and J. C.
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Rosenblueth, E. (1957). “Consider
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instantaneous period of vibration a
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value of the maximum plastic deform
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(a) elastic-perfectly plastic type(
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where a is the constant peculiar to
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Referring to Eq. (15), the natural
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-The effective period obtained by u
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eal damage data, rather than theore
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liquefaction-induced damage. This i
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Figure 5. Selected damage distribut
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Figure 6. Idealized capacity spectr
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I’ for the ductile case, as expec
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This study has shown that a modific
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thickness of the inner wall is usua
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4. EARTHQUAKE GROUND MOTION INPUT A
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5.2 Performance Levels and Limit St
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where λ I jis the occurrence rate
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intensity VI because the number of
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and thus are not considered in seis
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The values of the displacement modi
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constant amplitude loading (CA) or
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deterioration. These are the type o
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members, is the main feature of the
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RESULTS, DISCUSSIONS AND CONCLUSION
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systems, where FEMA estimations are
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The case study is a Hospital in the
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Table 1. Dimensions and amount of r
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4.2 Incremental AnalysisBase shear
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When adding jackets to columns, the
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storyShear in interior Column [ton]
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PERFORMANCE-BASED SEISMIC ASSESSMEN
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2. HYBRID FRAME BUILDINGSTwo precas
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15’ - 0” 15’ - 0”Hybrid fra
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and maximum residual inter-story fr
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As the first step in understanding
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Table 3. Comparison of calculated m
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NEW MODEL FOR PERFORMANCE BASED DES
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(a) interior beam-column joint(b) k
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yxVN =VADjDBABLD jDOV cOVCN= VLV bV
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3.3.2 B-modeThe equilibrium conditi
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3.6 Failure ModeBased on the calcul
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Name ofSpecimenTable 2. Comparison
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EARTHQUAKE ACTIONS IN SEISMIC CODES
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examination of the risk implication
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Bozorgnia and Campbell (2004) find
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structure, the results of inelastic
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hazard curves will often vary throu
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large uncertainties associated with
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A PRAGMATIC APPROACH FOR PERFORMANC
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Relative Height20118160.8140.6 1210
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Yield Strength Coefficient, Cy2.01.
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Yield Strength Coefficient, Cy*1.61
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2.6 Preliminary DesignIn the preced
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4. CONCLUSIONSIn the space availabl
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EXAMINATION OF THE EQUIVALENT VISCO
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of the bilinear model with the ener
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3. STUDY PARAMETERS AND ASSESSMENT
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decided to investigate the accuracy
Page 514 and 515:
DISPLACEMENT(m)DISPLACEMENT (m)DISP
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The results for all 100 earthquake
Page 518 and 519:
CONTRASTING PERFORMANCE-BASED DESIG
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Conceptual design is greatly facili
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2. The availability of cost-of-repa
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There are many questions to be answ
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assess expected NSASS losses. For t
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3.2.2 Design for Tolerable Mean Ann
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THE PERFORMANCE REQUIREMENTS IN JAP
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2.1 Law Enforcement and InspectionT
Page 534 and 535:
Splices and development of reinforc
Page 536 and 537:
as for the rising part of continuou
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compressive stress of concrete is t
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MOLIT Notification No. 1461 outline
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AUTHOR INDEXH. Akiyama.............
Page 544 and 545:
F. Taucer .........................
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PEER 2003/06PEER 2003/05PEER 2003/0
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PEER 2001/13PEER 2001/12Modeling So
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PEER 1999/04 Adoption and Enforceme
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