Probabilistic Seismic Risk Assessment of Metro Tunnels in Soft Soils

Tunnels are of significant importance in the sustainable development of global urban areas, particularly in metropolitan areas. It is of the utmost importance to evaluate the seismic performance of tunnels across a wide spectrum of earthquake intensities. In order to address this, our study presents a framework for the assessment of seismic risk in tunnels. This study employs the city of Shanghai’s urban metro tunnels as case studies. The nominal values of seismic risk for the three main damage states—minor, moderate, and major—were calculated. Furthermore, the influence of utilizing disparate fragility functions on expected seismic risk assessments was investigated. In this framework, the probability density functions of the different fragility curve models are employed to treat the probability values associated with them as random variables. This approach aims to facilitate the propagation of IMV in seismic risk assessments. The results demonstrate that the Bayesian framework efficiently incorporates the full range of input model variability into risk estimation. The findings of this study offer a foundation for decision-making processes, seismic risk assessments, and the resilience management of urban infrastructure.

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Publication Details

Journal
Sustainability
Published
2024-09-21
DOI
https://doi.org/10.3390/su16188218
Primary Topic
Geotechnical Engineering and Underground Structures
Type
article
Field-Weighted Citation Impact
0.00

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article

Probabilistic Seismic Risk Assessment of Metro Tunnels in Soft Soils

Y.H. Cheng, Zhongkai Huang, Chenlong Zhang, Qiangqiang Sun et al.
Sustainability
Geotechnical Engineering and Underground Structures
article

Probabilistic Seismic Risk Assessment of Metro Tunnels in Soft Soils

Y.H. Cheng, Zhongkai Huang, Chenlong Zhang, Qiangqiang Sun, Chong Lei, Xingmian Deng
article en

Abstract

Tunnels are of significant importance in the sustainable development of global urban areas, particularly in metropolitan areas. It is of the utmost importance to evaluate the seismic performance of tunnels across a wide spectrum of earthquake intensities. In order to address this, our study presents a framework for the assessment of seismic risk in tunnels. This study employs the city of Shanghai’s urban metro tunnels as case studies. The nominal values of seismic risk for the three main damage states—minor, moderate, and major—were calculated. Furthermore, the influence of utilizing disparate fragility functions on expected seismic risk assessments was investigated. In this framework, the probability density functions of the different fragility curve models are employed to treat the probability values associated with them as random variables. This approach aims to facilitate the propagation of IMV in seismic risk assessments. The results demonstrate that the Bayesian framework efficiently incorporates the full range of input model variability into risk estimation. The findings of this study offer a foundation for decision-making processes, seismic risk assessments, and the resilience management of urban infrastructure.

SustainabilityVol. 16(18)
Tongji University (CN), China Railway Group (China) (CN), Hebei University (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Tongji University, Natural Science Foundation of Chongqing, Centre Scientifique et Technique du Bâtiment, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 82%
Geotechnical Engineering and Underground Structures
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