Seismic fragility and resilience assessment of large‐span cable‐stayed bridges under multi‐support ground motions with non‐Gaussian characteristics

Abstract Seismic fragility analysis and resilience assessment of large‐span cable‐stayed bridge structures are critical for evaluating their seismic performance. However, there is a scarcity of research on the effects of multi‐support ground motions and their non‐Gaussian characteristics on seismic fragility and resilience. This paper aims to addresses this issue. Initially, random ground motions with spatial variability and non‐Gaussian characteristics are simulated using the Spectral Representation Method (SRM) and the Unified Hermite Polynomial Model (UHPM). Subsequently, the Fractional Exponential Moments‐based Maximum Entropy Method (FEM‐MEM) and the Adaptive Gaussian Mixture Model (AGMM) are employed for seismic reliability‐based fragility analysis, overcoming the shortcomings of conventional lognormal assumption. Component‐ and system‐level fragility analyses are conducted sequentially, followed by seismic resilience assessment of bridge structures based on the results of system‐level fragility analysis. A numerical example is presented to validate the proposed method. Computational results indicate that: (1) The proposed method offers higher accuracy and broader applicability for seismic fragility analysis of large‐span cable‐stayed bridge structures compared to traditional assumptions. (2) The non‐Gaussian characteristics of ground motions may significantly impact the seismic fragility analysis and resilience assessment of large‐span bridge structures.

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Publication Details

Journal
Earthquake Engineering & Structural Dynamics
Published
2024-08-22
DOI
https://doi.org/10.1002/eqe.4220
Citations
4
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
1.04

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article

Seismic fragility and resilience assessment of large‐span cable‐stayed bridges under multi‐support ground motions with non‐Gaussian characteristics

Jian Zhong, Jun Xu, Yang Li, Yucong Lan
4 citations
Earthquake Engineering & Structural Dynamics
Seismic Performance and Analysis
1.04
article

Seismic fragility and resilience assessment of large‐span cable‐stayed bridges under multi‐support ground motions with non‐Gaussian characteristics

Jian Zhong, Jun Xu, Yang Li, Yucong Lan
article en
4 citations

Abstract

Abstract Seismic fragility analysis and resilience assessment of large‐span cable‐stayed bridge structures are critical for evaluating their seismic performance. However, there is a scarcity of research on the effects of multi‐support ground motions and their non‐Gaussian characteristics on seismic fragility and resilience. This paper aims to addresses this issue. Initially, random ground motions with spatial variability and non‐Gaussian characteristics are simulated using the Spectral Representation Method (SRM) and the Unified Hermite Polynomial Model (UHPM). Subsequently, the Fractional Exponential Moments‐based Maximum Entropy Method (FEM‐MEM) and the Adaptive Gaussian Mixture Model (AGMM) are employed for seismic reliability‐based fragility analysis, overcoming the shortcomings of conventional lognormal assumption. Component‐ and system‐level fragility analyses are conducted sequentially, followed by seismic resilience assessment of bridge structures based on the results of system‐level fragility analysis. A numerical example is presented to validate the proposed method. Computational results indicate that: (1) The proposed method offers higher accuracy and broader applicability for seismic fragility analysis of large‐span cable‐stayed bridge structures compared to traditional assumptions. (2) The non‐Gaussian characteristics of ground motions may significantly impact the seismic fragility analysis and resilience assessment of large‐span bridge structures.

Earthquake Engineering & Structural Dynamics
Hefei University of Technology (CN), Hunan University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 26%
Seismic Performance and Analysis
1.04
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