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作 者:安东亚[1] 徐自然[1,2] 包联进[1] AN Dongya;XU Ziran;BAO Lianjin(East China Architectural Design&Research Institute Co.,Ltd.,Shanghai 200041,China;Department of Building Engineering,Tongji University,Shanghai 200092,China)
机构地区:[1]华东建筑设计研究院有限公司,上海200041 [2]同济大学建筑工程系,上海200092
出 处:《建筑结构》2020年第18期84-90,共7页Building Structure
基 金:“上海超高层建筑设计工程技术研究中心”建设项目(14D22252800)。
摘 要:通过初步弹塑性分析发现某500m级巨型框架-核心筒结构在罕遇地震作用下潜在的薄弱环节,分析了结构自身特点和外部输入特征共同导致破坏的原因,通过加强措施对薄弱部位进行改善;基于典型地震波,不断加大地震作用强度,考察结构在超强地震作用中的刚度退化过程,通过周期延长程度、能量耗散比例、外框剪力分担比例变化情况以及构件损坏水平等多个角度对结构的抗震性能进行评估;并通过振动台试验得到的刚度退化数据对分析结果进行校验。研究结果表明,该巨型结构抵御超强地震的总体冗余度较高;竖向收进、构件截面变化以及伸臂桁架等导致的刚度突变较易形成局部集中破坏,但出现破坏的顺序受地震动影响较大;非线性分析方法所得刚度退化规律与试验结果一致,在性能评估中可提供更加丰富的数据结果。According to the preliminary elastic-plastic analysis under the rare earthquake action,the potential weakness of a mega frame-core tube structure with a height of 500 meters was found,and the causes of the damage caused by the characteristics of the structure itself and the external input action characteristics were analyzed.The weak parts were improved by strengthening measures.Based on the typical seismic wave,the earthquake action intensity was continuously increased to investigate the stiffness degradation process of the structure under super strong earthquake.The seismic performance of the structure was evaluated from the perspectives of vibration period extension,energy dissipation ratio,shear sharing ratio of frame and damage level of members.The stiffness degradation data obtained from shaking table test were used to verify the analysis results.The results show that the overall redundancy of the mega-structure against super-strong earthquakes is relatively high,and the abrupt change of stiffness caused by setbacks in elevation,member cross-section change or outrigger truss is more likely to lead to local concentrated damage,however,the sequence of failure is greatly affected by the ground motion.The stiffness degradation law reflected from nonlinear analysis is consistent with that from the table test results,and the nonlinear analysis method could provide much more abundant data in the performance evaluation process.
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