Structural reliability analysis based on vulnerability function

Abstract This paper proposes a structural reliability analysis methodology based on vulnerability functions, taking into account the uncertainties in seismic excitation and structural seismic response parameters. A probabilistic seismic demand model, following a β -distribution, is introduced to investigate the correlations between seismic response parameters under the same seismic event. The fragility function is constructed by combining the log-normal distribution with correlation coefficients to calculate the probability of structural failure. The fragility curve is fitted using the probability distribution function of the log-normal distribution and compared with the fragility results obtained from traditional fragility functions. A two-span continuous reinforced concrete highway bridge is used as a case study for seismic fragility analysis. The results indicate that when the structure is subjected to seismic intensities exceeding 9 degrees, the correlation becomes significant, which is beneficial for pre-earthquake disaster prediction and structural reliability evaluation.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-02-01
DOI
https://doi.org/10.1088/1742-6596/2964/1/012072
Primary Topic
Structural Health Monitoring Techniques
Type
article
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Structural reliability analysis based on vulnerability function

Wenzhe Wang, Wanchun Tian, Zhong‐Ren Peng, Jun Liu et al.
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Journal of Physics Conference Series
Structural Health Monitoring Techniques
article

Structural reliability analysis based on vulnerability function

Wenzhe Wang, Wanchun Tian, Zhong‐Ren Peng, Jun Liu, Mengfei Yang
article en

Abstract

Abstract This paper proposes a structural reliability analysis methodology based on vulnerability functions, taking into account the uncertainties in seismic excitation and structural seismic response parameters. A probabilistic seismic demand model, following a β -distribution, is introduced to investigate the correlations between seismic response parameters under the same seismic event. The fragility function is constructed by combining the log-normal distribution with correlation coefficients to calculate the probability of structural failure. The fragility curve is fitted using the probability distribution function of the log-normal distribution and compared with the fragility results obtained from traditional fragility functions. A two-span continuous reinforced concrete highway bridge is used as a case study for seismic fragility analysis. The results indicate that when the structure is subjected to seismic intensities exceeding 9 degrees, the correlation becomes significant, which is beneficial for pre-earthquake disaster prediction and structural reliability evaluation.

Journal of Physics Conference SeriesVol. 2964(1)
Northwest Research Institute of Chemical Industry (CN)
Openalex Percentile: Top 96%
Structural Health Monitoring Techniques
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