用于区域地震易损性分析的桥梁网概率功能损失率模型

IF 11 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Jian Zhong , Sien Zhou , Hao Wang
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引用次数: 0

摘要

地震灾后桥梁网络交通功能评价对灾后救援重建具有重要意义。以往的研究存在将单桥抗震性能分析与网络交通功能分析相结合的局限性,给网络层面的合理抗震决策带来很大困难。为此,建立了桥梁网络的概率功能损失率模型(PFLRM)。为了估计网络的功能损失,在PFLRM中定义了一个新的指标,称为功能损失率(FLR)。在此基础上,提出了考虑地震烈度测量、单个桥梁参数和网络拓扑结构等因素影响的桥梁抗震性能评估方法。此外,为了提高FLR的获取效率,建立了FLR与IM之间的量化模型,该模型具有适用性、准确性和高效性。用蒙特卡罗方法在12个基准网络上对所提出的PFLRM的精度进行了比较。最后,该模型可应用于实际网络进行区域地震易损性分析,以识别重要桥梁并制定修复策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probabilistic Functionality Loss Rate Model of Bridge Network for Regional Seismic Fragility Analysis
The evaluation of traffic functionality of bridge networks in post-earthquake is essential for rescue and reconstruction. The previous studies have a limitation of combination with individual bridge seismic performance analysis and network traffic functionality analysis, which brings a great difficulty to rational aseismic decision making at network-level. Therefore, a probabilistic functionality loss rate model (PFLRM) is established for bridge network. For estimating the network functionality loss, a novel index is defined in PFLRM, named functionality loss rate (FLR). Moreover, the assessment method of FLR is also provided accounting for seismic intensity measure (IM), individual bridge parameters and network topology. In addition, for improving the obtaining efficiency of FLR, a quantified model between FLR and IM is established, which has the advantages of applicability, accuracy and efficiency. The precision of proposed PFLRM is compared by Monte Carlo method on twelve benchmark networks. Finally, the proposed model can be applied on a real network for regional seismic fragility analysis to identify important bridges and make repair strategy.
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来源期刊
Reliability Engineering & System Safety
Reliability Engineering & System Safety 管理科学-工程:工业
CiteScore
15.20
自引率
39.50%
发文量
621
审稿时长
67 days
期刊介绍: Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.
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