脆弱性
开阔视野
增量动力分析
桥(图论)
云计算
脆弱性(计算)
计算机科学
非线性系统
脆弱性评估
可靠性工程
结构工程
工程类
地震分析
有限元法
计算机安全
化学
物理
心理治疗师
物理化学
心理弹性
内科学
操作系统
医学
量子力学
心理学
作者
Yuchun Pang,Kai Wei,Jianguo Wang,Shengbin Zhang
出处
期刊:Earthquake engineering and resilience
日期:2023-12-26
摘要
Abstract In seismic risk assessment of bridges, developing fragility function is a fundamental step to characterize the structural vulnerability, which is usually derived based on the relationship between the engineering demand parameter (EDP) and intensity measure (IM). The EDP‐IM relationships are generally developed through three approaches, namely Cloud analysis (Cloud), incremental dynamic analysis (IDA), and multiple strip analysis (MSA). It is known that the Cloud method is computationally efficient while the IDA and MSA can provide the accurate fragility estimates. Thus, the present paper proposes an efficient and accurate fragility (EAF) approach which has similar computational demand as Cloud but keeps the same level of accuracy as IDA or MSA. In this proposed EAF procedure, the nonlinear time‐history responses at the intensifying duration of ground motions were used to develop the EDP‐IM curves. And these EDP‐IM curves are accurate enough to replace the IDA curves in developing fragility curves. To illustrate the efficiency and accuracy of the proposed EAF method, two typical bridges (a two‐span single‐frame bridge and a single‐pylon cable‐stayed bridge) were selected and modeled in OpenSees and employed as case studies. By comparing the fragility estimates of these bridges to IDA and MSA, it is demonstrated that the proposed EAF approach leads to reliable fragility results, while has similar computational time as Cloud.
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