Review on probabilistic seismic demand modeling and estimation for highway bridge

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-05-27 DOI:10.1177/13694332241255750
Kirubel Tefera Gesho, Changjiang Shao
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Abstract

The probabilistic seismic demand model (PSDM) is essential to identify the seismic demand of the highway bridge during and after an earthquake. This paper aims to review the probabilistic seismic demand estimation and modeling methodology options associated with the procedure, analytical analysis, and mathematical framework for a highway bridge. As a result of the review, different techniques with features, applications, and limitations on highway bridges are reviewed and presented. A review has investigated the current PSDM and provides a comprehensive summary with formulas, tables, figures, and frameworks. PSDM steps are constructed and introduced to how scholars use them. Besides, analytical methods are the best choice for investigating the PSDA and PSDM for critical bridge components when damage data is insufficient. They are determined to predict each component’s seismic response for a given deterministic or random variable. This work helps and motivates the decision-makers and stakeholders to extend the application of the PSDM methodology option for a more informed decision.
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公路桥梁概率地震需求建模与估算综述
概率地震需求模型(PSDM)对于确定公路桥梁在地震中和地震后的地震需求至关重要。本文旨在回顾与公路桥梁的程序、分析和数学框架相关的概率地震需求估算和建模方法选项。综述的结果是对不同技术的特点、在公路桥梁上的应用和局限性进行了评述和介绍。审查调查了当前的 PSDM,并提供了包含公式、表格、数字和框架的全面总结。构建了 PSDM 步骤,并介绍了学者们如何使用这些步骤。此外,在损伤数据不足的情况下,分析方法是研究关键桥梁构件 PSDA 和 PSDM 的最佳选择。在给定的确定性变量或随机变量下,它们可预测每个构件的地震响应。这项工作有助于并激励决策者和利益相关者扩大 PSDM 方法选项的应用范围,从而做出更加明智的决策。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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