Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/102437
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Title: Long-term resilience and loss assessment of highway bridges under multiple natural hazards
Authors: Li, Y 
Dong, Y 
Frangopol, DM
Gautam, D
Issue Date: 2020
Source: Structure and infrastructure engineering, 2020, v. 16, no. 4, p. 626-641
Abstract: Highway bridges play a significant role in maintaining safety and functionality of the society. The immediate damage of highway bridges caused by natural hazards can disrupt transportation systems, impede rescue and recovery activities. This disruption may result in tremendous financial and societal losses. Therefore, assessing vulnerability, recovery capability, and potential losses of bridges under natural hazards becomes a primary concern to decision-makers to facilitate the emergency response and recovery efforts. Under these concerns, resilience is a paramount performance indicator to evaluate and recover the functionality of structural systems under extreme events. In this article, an integrated framework for long-term resilience and loss assessment of highway bridges under multiple independent natural hazards is presented. The impacts of extreme events such as earthquakes, hurricanes and floods on the life-cycle performance of bridges are illustrated. A stochastic renewal process model of the random occurrence of hazard events is used to compute the expected long-term resilience and damage loss by considering both time-independent and time varying occurrence characteristics. The proposed approach is applied to a bridge by considering the impacts of earthquake and hurricane hazards. The proposed framework can be implemented to the design, maintenance and retrofit optimisation of infrastructure systems under multiple extreme events.
Keywords: Highway bridges
Life-cycle performance
Long-term loss assessment
Multiple natural hazards
Resilience
Publisher: Taylor & Francis
Journal: Structure and infrastructure engineering 
ISSN: 1573-2479
EISSN: 1744-8980
DOI: 10.1080/15732479.2019.1699936
Rights: © 2020 Informa UK Limited, trading as Taylor & Francis Group
This is an Accepted Manuscript of an article published by Taylor & Francis in Structure and Infrastructure Engineering on 06 Jan 2020 (published online), available at: http://www.tandfonline.com/10.1080/15732479.2019.1699936.
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