A finite element reliability analysis platform for damage index-based fragility assessment of RC bridges

In this study, a computational platform is developed for fragility assessment of reinforced concrete (RC) bridges using a damage index (DI)-based approach. The platform integrates a reliability analysis in conjunction with sophisticated nonlinear finite element (FE) analysis. In this process, the first-order reliability method enables efficient probabilistic evaluation, while the FE analysis provides DI values that directly quantify bridge damage condition. The platform was applied to a hollow RC bridge pier under cyclic loading, and fragility curves were derived for multiple damage levels calibrated by experimental thresholds. Compared with Monte Carlo simulation, the proposed platform achieved similar accuracy with far fewer analyses, requiring only 80 runs instead of 2,711. A parametric study further investigated the effect of threshold uncertainty on fragility curves. These results demonstrate the potential of the proposed platform as an efficient tool for reliability-based vulnerability assessment and the derivation of seismic fragility curves.

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Publication Details

Journal
Scientific Reports
Published
2025-11-04
DOI
https://doi.org/10.1038/s41598-025-22571-5
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

A finite element reliability analysis platform for damage index-based fragility assessment of RC bridges

Seung-Jun Lee, Taehoon Kim, Min‐Sun Kim, Young‐Joo Lee et al.
Scientific Reports
Seismic Performance and Analysis
article

A finite element reliability analysis platform for damage index-based fragility assessment of RC bridges

Seung-Jun Lee, Taehoon Kim, Min‐Sun Kim, Young‐Joo Lee, H. Song
article en

Abstract

In this study, a computational platform is developed for fragility assessment of reinforced concrete (RC) bridges using a damage index (DI)-based approach. The platform integrates a reliability analysis in conjunction with sophisticated nonlinear finite element (FE) analysis. In this process, the first-order reliability method enables efficient probabilistic evaluation, while the FE analysis provides DI values that directly quantify bridge damage condition. The platform was applied to a hollow RC bridge pier under cyclic loading, and fragility curves were derived for multiple damage levels calibrated by experimental thresholds. Compared with Monte Carlo simulation, the proposed platform achieved similar accuracy with far fewer analyses, requiring only 80 runs instead of 2,711. A parametric study further investigated the effect of threshold uncertainty on fragility curves. These results demonstrate the potential of the proposed platform as an efficient tool for reliability-based vulnerability assessment and the derivation of seismic fragility curves.

Scientific ReportsVol. 15(1)
Korea Research Institute of Standards and Science (KR), Korea Railroad Research Institute (KR), Ulsan National Institute of Science and Technology (KR)
Korea Railroad Research Institute
Openalex Percentile: Top 66%
Seismic Performance and Analysis
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