Seismic fragility analysis of containment structure subjected to near fault ground motions

被引:5
|
作者
Jin, Song [1 ]
Wang, Dongmei [2 ]
Jiang, Di [2 ]
机构
[1] Anhui Univ Technol, Sch Civil Engn & Architecture, Maanshan 243002, Anhui, Peoples R China
[2] China Nucl Power Engn Co Ltd, Beijing 100840, Peoples R China
关键词
Containment structure; Fragility analysis; Energy-based global damage index; Bootstrap resampling procedure; FLING-STEP; MODEL; UNCERTAINTY; VARIABILITY; SYSTEM;
D O I
10.1016/j.pnucene.2023.104734
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
This study presents seismic fragility analysis of the containment structure subjected to near fault ground motion. Prior to perform seismic fragility analysis, 20 near fault ground motion records with pulse characteristics are selected PEER database. Nonlinear dynamic analysis of the containment structure is performed automatically using Matlab scripts and Batch files. To quantify the global damage behavior of the containment structure subjected to near fault ground motion, energy-based global damage index is proposed. The evolution of global damage behavior and tensile damage of the containment structure are analyzed in depth. Goodness of fit for two widely used fragility fitting methods is compared. To quantify the uncertainty in fragility function parameters, Bootstrap resampling procedure and analytical statistical inference method are adopted to estimate the confidence interval of the fragility function parameters. Results indicated that the bottom of containment structure suffered from severe tensile damage and it is most vulnerable location of the containment structure. With the increase of peak ground motion intensity level, tensile damage increases rapidly and extends to higher elevations of the containment structure. The relative error for fragility function parameter (x) over tilde (m) is not more than 4%, and the error of fragility function parameter (beta) over tilde (R) is more than 12%. In general, analytical statistical method provides good estimation for the confidence interval of fragility function parameter (x) over tilde (m), while overestimate the confidence interval of fragility function parameter (beta) over tilde (R).
引用
收藏
页数:16
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