建筑结构学报2024，Vol.45Issue(7)：143-152,10.DOI:10.14006/j.jzjgxb.2023.0244
震损钢筋混凝土框架结构余震韧性分析
Aftershock resilience evaluation of mainshock-damaged reinforced concrete frame structures
摘要
Abstract
In order to evaluate the seismic resilience of a damaged structure for aftershock excitations,a framework of seismic resilience assessment for damaged structures,which was dependent on the mainshock damage states,was developed in this study.The framework was divided into four parts,namely,the selection of mainshock-aftershock sequences,aftershock fragility analysis,the computation of repair time and the determination of the recovery function.For the above-mentioned four parts,the conditional mean spectrum of mainshock and aftershock,the damage-dependent aftershock fragility function based on Logistic regression method,GB/T 38591-2020'Standard for seismic resilience assessment of buildings'and the characteristic of social resources and rescue capacity were employed to solve the four issues.In order to verify the proposed framework,a seismic-designed RC frame was selected as the case example for the resilience evaluation.The results show that with the increasing of structural damage,the aftershock economic loss of the structure is obviously increasing,and the resilience of the damaged structure is significantly decreased.When the mainshock-induced damage reaches the severe damage state,the decrease rate of structural resilience can be up to 41％,and the increment of economic loss can be as much as 10 times of that of the undamaged structure.There is a nonlinear reduction for the seismic performance when the mainshock damage occurs.Therefore,it is necessary to account for the influence of the current structural damage state in the resilience assessment of a structure.关键词
震损结构/主余震/抗震韧性/状态相关/余震易损性Key words
damaged structure/mainshock-aftershock/seismic resilience/state-dependent/aftershock fragility分类
建筑与水利引用本文复制引用
周洲,于晓辉,韩淼,吕大刚,罗开海,王建宁..震损钢筋混凝土框架结构余震韧性分析[J].建筑结构学报,2024,45(7):143-152,10.基金项目
长沙理工大学南方地区桥梁长期性能提升技术国家地方联合工程实验室开放基金资助项目(22KE01),中国博士后科学基金项目(2022M710333,2022M720456),国家自然科学基金项目(52278492). （22KE01）
