Seismic fragility of Italian RC precast industrial structures

被引:119
|
作者
Casotto, C. [1 ]
Silva, V. [2 ]
Crowley, H. [2 ]
Nascimbene, R. [2 ]
Pinho, R. [3 ]
机构
[1] IUSS Pavia, UME Sch, ROSE Programme, Pavia, Italy
[2] European Ctr Training & Res Earthquake Engn EUCEN, Pavia, Italy
[3] Univ Pavia, Dept Civil Engn & Architecture, I-27100 Pavia, Italy
关键词
Seismic fragility; RC precast structures; 2D and 3D modelling; Beam-column connection collapse; MID-RISE; VALUES;
D O I
10.1016/j.engstruct.2015.02.034
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Despite the moderate ground motions observed during the seismic events in Northern Italy, May 2012, reinforced concrete (RC) precast industrial buildings suffered excessive damage, which led to substantial direct and indirect losses. The aim of this paper is to present a seismic fragility model for Italian RC precast buildings, to be used in earthquake loss estimation and seismic risk assessment. An analytical methodology has been used that consists of (1) random sampling of one hundred structures for each building typology, (2) pushover analysis to establish a number of damage limit states, (3) execution of nonlinear dynamic analysis and comparison of the maximum demand with the limit state capacity to allocate the structure in a damage state, and (4) regression analysis on the cumulative percentage of buildings in each damage state for a set of intensity measure levels to derive the statistical parameters of the fragility functions. The building population employed in the analysis was generated considering both material and geometric variability that was obtained from the field surveys of 650 industrial facilities, as well as other information available in the literature. Several aspects of the fragility derivation process were further analysed, such as the correlation between different intensity measure types and damage, the consideration of different collapse mechanisms (e.g, beam-column connection failure) and the differences in the resulting fragility curves when adopting a 2D or a 3D modelling environment. A good agreement with preliminary empirical fragility functions based on field data was also observed. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:122 / 136
页数:15
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