An overarching framework to assess the life-time resilience of deteriorating transportation networks in seismic-prone regions

Alice Alipour, Behrouz Shafei
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引用次数: 4

Abstract

This study develops a comprehensive framework to assess the resilience of transportation networks consisting of deteriorating bridges subjected to earthquake events. For this purpose, the structural capacity of highway bridges is estimated during their service life using a set of detailed finite-element models that simulate the progress of deterioration. The developed models take into consideration the main environmental stressors and determine the extent of capacity loss as a function of time. Based on the degraded state of structural components, seismic fragility analyses are performed to obtain a probabilistic evaluation of the extent of damageability of the existing bridges under seismic events. Since each transportation link normally consists of a number of bridges, the state of damage in the individual bridges is mapped to the corresponding links and a scenario-based approach is employed to estimate the resilience of the entire transportation network. To demonstrate how the consequences of structural degradation can be integrated into the developed framework, the large-scale transportation network of Los Angeles and Orange counties is investigated under a series of aging and earthquake scenarios. The outcome of this study indicates how the estimates associated with the functionality measures of a transportation network can be improved if the age factor is properly integrated into the framework used for resilience assessment.

评估地震易发地区日益恶化的交通网络的终身恢复力的总体框架
本研究开发了一个全面的框架来评估由退化桥梁组成的交通网络在地震事件中的恢复能力。为此,使用一组详细的模拟老化过程的有限元模型来估计公路桥梁在其使用寿命期间的结构能力。所建立的模型考虑了主要的环境压力源,并确定了容量损失的程度作为时间的函数。基于结构构件的退化状态,进行地震易损性分析,得到既有桥梁在地震作用下的易损性程度的概率评估。由于每个交通链路通常由许多桥梁组成,因此将单个桥梁的损坏状态映射到相应的链路上,并采用基于场景的方法来估计整个交通网络的恢复能力。为了证明如何将结构退化的后果整合到已开发的框架中,本文在一系列老化和地震情景下对洛杉矶和奥兰治县的大规模交通网络进行了研究。本研究的结果表明,如果将年龄因素适当地整合到用于弹性评估的框架中,如何改进与交通网络功能测量相关的估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
3.20
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