Modeling post‐earthquake functional recovery of bridges

Rapid restoration of transportation systems following earthquake disruptions is essential due to its significant impact on commutes, freight transport, and emergency medical response. This study develops a framework to model bridge post‐earthquake functional recovery, which is a critical step in assessing the seismic resilience of transportation networks. A simulation‐based strategy is used, which is initiated by component‐level damage assessment. This is followed by three major modules that include functional state evaluation, impeding factor definition and duration, and repair or replacement duration. The functional state module determines the bridge closure decisions (e.g. partial or complete lane closure, weight restriction) immediately after the earthquake and during the reopening phase. The duration estimates include the time delays before the initiation of repairs (in the impeding factor module) and the time needed to perform any necessary repairs or to replace the bridge (in the repair or replacement duration module). Worker allocation schemes and repair sequencing are explicitly considered to realistically reflect local construction practices. The framework architecture and duration‐based input parameters were informed by a series of interviews with California bridge engineers and builders. Nonetheless, the overall methodology is flexible and can be easily adapted to other jurisdictions.

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Publication Details

Journal
Earthquake Spectra
Published
2025-05-01
DOI
https://doi.org/10.1177/87552930251321301
Citations
2
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
1.91

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article

Modeling post‐earthquake functional recovery of bridges

Henry V. Burton, Ádám Zsarnóczay, Vesna Terzić, Ibrahim Almufti et al.
2 citations
Earthquake Spectra
Infrastructure Resilience and Vulnerability Analysis
1.91
article

Modeling post‐earthquake functional recovery of bridges

Henry V. Burton, Ádám Zsarnóczay, Vesna Terzić, Ibrahim Almufti, M. W. Mieler, Jamie Ellen Padgett, Chenhao Wu, Selim Günay, Yazhou Xie, Shanshan Chen
article en
2 citations

Abstract

Rapid restoration of transportation systems following earthquake disruptions is essential due to its significant impact on commutes, freight transport, and emergency medical response. This study develops a framework to model bridge post‐earthquake functional recovery, which is a critical step in assessing the seismic resilience of transportation networks. A simulation‐based strategy is used, which is initiated by component‐level damage assessment. This is followed by three major modules that include functional state evaluation, impeding factor definition and duration, and repair or replacement duration. The functional state module determines the bridge closure decisions (e.g. partial or complete lane closure, weight restriction) immediately after the earthquake and during the reopening phase. The duration estimates include the time delays before the initiation of repairs (in the impeding factor module) and the time needed to perform any necessary repairs or to replace the bridge (in the repair or replacement duration module). Worker allocation schemes and repair sequencing are explicitly considered to realistically reflect local construction practices. The framework architecture and duration‐based input parameters were informed by a series of interviews with California bridge engineers and builders. Nonetheless, the overall methodology is flexible and can be easily adapted to other jurisdictions.

Earthquake SpectraVol. 41(3)
University of California, Los Angeles (US), Earthquake Engineering Research Institute (US), Arup Group (United States) (US), Pacific Earthquake Engineering Research Center, McGill University (CA), California State University, Long Beach (US), Rice University (US), Stanford University (US)
National Science Foundation, Pacific Earthquake Engineering Research Center, University of California Berkeley
Sustainable cities and communities
Openalex Percentile: Top 16%
Infrastructure Resilience and Vulnerability Analysis
1.91
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