A review of bridge resilience: assessment frameworks, intelligent algorithms, and future directions

Bridge resilience assessment enables bridges to maintain their structural integrity and functionality in the face of loads and disasters, improves their reliability and recovery capability, and ensures the smooth flow of transportation. This study focuses on the assessment methods and indicator selection for the seismic resilience of bridges, summarizing the latest research progress in this field. It reviews the development history of commonly used bridge resilience assessment methods and frequently used assessment methods, and comparatively analyzes the advantages and disadvantages of experimental research and numerical simulation. Several bridge resilience assessment frameworks and evaluation models are introduced, including those for single bridges as well as for entire bridge networks, to assist researchers in selecting appropriate models and frameworks based on actual conditions. The key indicators for the seismic resilience assessment of bridges are reviewed, including structural strength, deformation capacity, durability, and reparability. Finally, future directions for research are proposed. The research indicates that assessment methods for bridge resilience under the coupled effects of multiple hazards are not yet mature and require further investigation. The close integration of intelligent algorithms with bridge resilience assessment is an important future research direction. This review aims to further promote the research and application of seismic resilience assessment for bridges.

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Publication Details

Journal
Journal of Vibroengineering
Published
2026-05-16
DOI
https://doi.org/10.21595/jve.2026.25582
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
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article

A review of bridge resilience: assessment frameworks, intelligent algorithms, and future directions

Jiuqing Zhou, Guanghui Zhang, Daming Lin, Leifa Li et al.
Journal of Vibroengineering
Infrastructure Resilience and Vulnerability Analysis
article

A review of bridge resilience: assessment frameworks, intelligent algorithms, and future directions

Jiuqing Zhou, Guanghui Zhang, Daming Lin, Leifa Li, Mingyou Chen
article en

Abstract

Bridge resilience assessment enables bridges to maintain their structural integrity and functionality in the face of loads and disasters, improves their reliability and recovery capability, and ensures the smooth flow of transportation. This study focuses on the assessment methods and indicator selection for the seismic resilience of bridges, summarizing the latest research progress in this field. It reviews the development history of commonly used bridge resilience assessment methods and frequently used assessment methods, and comparatively analyzes the advantages and disadvantages of experimental research and numerical simulation. Several bridge resilience assessment frameworks and evaluation models are introduced, including those for single bridges as well as for entire bridge networks, to assist researchers in selecting appropriate models and frameworks based on actual conditions. The key indicators for the seismic resilience assessment of bridges are reviewed, including structural strength, deformation capacity, durability, and reparability. Finally, future directions for research are proposed. The research indicates that assessment methods for bridge resilience under the coupled effects of multiple hazards are not yet mature and require further investigation. The close integration of intelligent algorithms with bridge resilience assessment is an important future research direction. This review aims to further promote the research and application of seismic resilience assessment for bridges.

Journal of Vibroengineering
Climate action
Openalex Percentile: Top 8%
Infrastructure Resilience and Vulnerability Analysis
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A review of bridge resilience: assessment frameworks, intelligent algorithms, and future directions — Jiuqing Zhou, Guanghui Zhang, et al. · Journal of Vibroengineering (2026) | TGRS Research Map | TGRS