Vertical Load‐Carrying Capacity‐Based Functionality Fragility Curve (VLCC‐FFC) for Physics‐Enhanced Probabilistic Seismic Resilience Assessment of Bridges: Methodology and Application

ABSTRACT Current practices for estimating postearthquake functionality of a bridge typically rely on assessing the physical damage and are often determined based on empirical engineering judgements. This approach can introduce significant variability in functionality estimates, further reducing the confidence level in probabilistic resilience assessment used for decision‐making. To address this issue, this study develops a physics‐enhanced probabilistic seismic resilience framework for bridges. In this framework, postevent functionality is physically evaluated by quantifying the loss of vertical load‐carrying capacity (VLCC) using incremental dynamic analysis followed by pushdown analysis. A novel concept named VLCC‐based functionality fragility curve (VLCC‐FFC) is proposed. The VLCC‐FFC represents the probability that the loss of VLCC will exceed a specific functionality state (FS, defined based on the level of VLCC loss) at a given seismic intensity measure. Furthermore, joint probability density functions (JPDFs) of VLCC loss and physical damage measures (e.g., residual drift ratio of a column) are developed for each FS to facilitate the probabilistic assessment of postevent residual functionality and the corresponding recovery process. The proposed framework is demonstrated through a case study of pile‐shaft–supported girder bridges subjected to earthquakes and liquefaction‐induced transverse spreading. The developed JPDFs for VLCC loss and residual drift ratio are available for implementation at https://bit.ly/JW912 .

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Publication Details

Journal
Earthquake Engineering & Structural Dynamics
Published
2025-03-18
DOI
https://doi.org/10.1002/eqe.4341
Citations
16
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
15.25

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article

Vertical Load‐Carrying Capacity‐Based Functionality Fragility Curve (VLCC‐FFC) for Physics‐Enhanced Probabilistic Seismic Resilience Assessment of Bridges: Methodology and Application

Xiaowei Wang, Yue Li, Jingcheng Wang, Aijun Ye
16 citations
Earthquake Engineering & Structural Dynamics
Seismic Performance and Analysis
15.25
article

Vertical Load‐Carrying Capacity‐Based Functionality Fragility Curve (VLCC‐FFC) for Physics‐Enhanced Probabilistic Seismic Resilience Assessment of Bridges: Methodology and Application

Xiaowei Wang, Yue Li, Jingcheng Wang, Aijun Ye
article en
16 citations

Abstract

ABSTRACT Current practices for estimating postearthquake functionality of a bridge typically rely on assessing the physical damage and are often determined based on empirical engineering judgements. This approach can introduce significant variability in functionality estimates, further reducing the confidence level in probabilistic resilience assessment used for decision‐making. To address this issue, this study develops a physics‐enhanced probabilistic seismic resilience framework for bridges. In this framework, postevent functionality is physically evaluated by quantifying the loss of vertical load‐carrying capacity (VLCC) using incremental dynamic analysis followed by pushdown analysis. A novel concept named VLCC‐based functionality fragility curve (VLCC‐FFC) is proposed. The VLCC‐FFC represents the probability that the loss of VLCC will exceed a specific functionality state (FS, defined based on the level of VLCC loss) at a given seismic intensity measure. Furthermore, joint probability density functions (JPDFs) of VLCC loss and physical damage measures (e.g., residual drift ratio of a column) are developed for each FS to facilitate the probabilistic assessment of postevent residual functionality and the corresponding recovery process. The proposed framework is demonstrated through a case study of pile‐shaft–supported girder bridges subjected to earthquakes and liquefaction‐induced transverse spreading. The developed JPDFs for VLCC loss and residual drift ratio are available for implementation at https://bit.ly/JW912 .

Earthquake Engineering & Structural DynamicsVol. 54(7)
Tongji University (CN), Case Western Reserve University (US), Fuzhou University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 1%
Seismic Performance and Analysis
15.25
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