An efficient method for estimating the collapse risk of structures in seismic regions

被引:231
作者
Eads, Laura [1 ]
Miranda, Eduardo [1 ]
Krawinkler, Helmut [1 ]
Lignos, Dimitrios G. [2 ]
机构
[1] Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USA
[2] McGill Univ, Dept Civil Engn & Appl Mech, Montreal, PQ H3A 2K6, Canada
基金
美国国家科学基金会;
关键词
collapse; performance-based earthquake engineering; probabilistic risk assessment; mean annual frequency; deaggregation; incremental dynamic analysis; PROBABILITY; CAPACITY;
D O I
10.1002/eqe.2191
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Assessing the probability of collapse is a computationally demanding component of performance-based earthquake engineering. This paper examines various aspects involved in the computation of the mean annual frequency of collapse (?c) and proposes an efficient method for estimating the sidesway collapse risk of structures in seismic regions. By deaggregating the mean annual frequency of collapse, it is shown that the mean annual frequency of collapse is typically dominated by earthquake ground motion intensities corresponding to the lower half of the collapse fragility curve. Uncertainty in the collapse fragility curve and mean annual frequency of collapse as a function of the number of ground motions used in calculations is also quantified, and it is shown that using a small number of ground motions can lead to unreliable estimates of a structure's collapse risk. The proposed method is shown to significantly reduce the computational effort and uncertainty in the estimate. Copyright (C) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:25 / 41
页数:17
相关论文
共 41 条
[1]   Approximate is better than "exact" for interval estimation of binomial proportions [J].
Agresti, A ;
Coull, BA .
AMERICAN STATISTICIAN, 1998, 52 (02) :119-126
[2]  
[Anonymous], 1993, An introduction to the bootstrap
[3]  
[Anonymous], 2003, INT BUILD COD
[4]  
[Anonymous], 2005, SEISM PROV STRUCT S1
[5]  
[Anonymous], 2010, ASCESEI710
[6]  
[Anonymous], 2005, 35805 AISC
[7]  
[Anonymous], 2008, THESIS STANFORD U ST
[8]  
[Anonymous], OP SYST EARTHQ ENG S
[9]  
Applied Technology Council (ATC), 2009, FEMAP440A ATC
[10]  
Applied Technology Council (ATC), 2011, ATC58175