建筑结构学报2017，Vol.38Issue(8)：14-24,11.DOI:10.14006/j.jzjgxb.2017.08.002
复合自复位结构基于概率的性能评估
Probabilistic performance assessment of self-centering dual systems
摘要
Abstract
Self-centering dual system (SCDS) is composed of an occupancy subsystem (primary system) and a damage controlling subsystem (secondary system).The occupancy subsystem supports normal occupancy function,sustains a majority of seismic response and entire structural gravity,and can be implemented by conventional frame structures,while the damage controlling subsystem provides self-centering and energy dissipation mechanisms,sustains the rest of seismic response and reduces drift concentration along the height of the structure,and can be implemented by secondary self-centering energy dissipation frames.Based on a stiffness demand design method,three SCDSs,which employ no energy dissipation devices,BRBs and self-centering dampers as energy dissipation mechanisms,respectively,were designed.Employing maximum and residual inter-story drift ratios as random variables,the performance of the three SCDSs and the uncontrolled structure were assessed by utilizing joint probability density functions.Analyzing the joint probability density function,fragility curves and drift concentration factors,some conclusions are drawn:the proposed system can effectively reduce the amplitude of maximum and residual inter-story drift ratios and their deviation;among the three SCDSs,the one equipped with self-centering dampers performs best;the SCDSs can effectively reduce the fragility probability contributed from residual drift;the drift concentration factor can be effectively controlled by the SCDSs,which leads to the likelihood reduction of weak-story failure mode.关键词
自复位复合结构/基本功能分区/损伤控制分区/残余位移/联合概率密度函数/易损性/性能评估Key words
self-centering dual system/occupancy subsystem/damage controlling subsystem/residual displacement/joint probability density function/fragility/performance assessment分类
建筑与水利引用本文复制引用
武大洋,吕西林..复合自复位结构基于概率的性能评估[J].建筑结构学报,2017,38(8):14-24,11.基金项目
国家自然科学基金重点项目(51638012),土木工程防灾国家重点实验室基金项目(SLDRCE14-A-07). （51638012）
