[1] Liu Chengyin, Ren Lichen, Jiang Zhaoshuo, et al. Multihazard risk assessment of sea-crossing suspension bridges based on an improved Bayesian network method [J]. Journal of Southeast University (English Edition), 2024, 40 (2): 155-164. [doi:10.3969/j.issn.1003-7985.2024.02.006]

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Multihazard risk assessment of sea-crossing suspension bridges based on an improved Bayesian network method()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

40

Issue:

2024 2

Page:

155-164

Research Field:

Civil Engineering

Publishing date:

2024-06-13

Info

Title:

Multihazard risk assessment of sea-crossing suspension bridges based on an improved Bayesian network method

Author(s):

Liu Chengyin¹;  2;  Ren Lichen¹;  2;  Jiang Zhaoshuo³;  Fang Qiyang¹;  2

¹School of Civil and Environmental Engineering, Harbin Institute of Technology(Shenzhen), Shenzhen 518055, China
²Guangdong Provincial Key Laboratory of Intelligent and Resilient Structures for Civil Engineering, Harbin Institute of Technology(Shenzhen), Shenzhen 518055, China
³School of Engineering, San Francisco State University, San Francisco 94132, USA

Keywords:

sea-crossing suspension bridge;  risk assessment;  Bayesian network;  damage index;  structural reliability

PACS:

TU448.25

DOI:

10.3969/j.issn.1003-7985.2024.02.006

Abstract:

To assess the combined risks of long-span suspension bridges under continuous wind loads and occasional earthquakes, a risk assessment framework for cross-sea suspension bridges based on improved Bayesian networks was proposed by combining the quantitative analysis of the structural damage probability and the qualitative assessment of the damage consequences during bridge operation. First, the damage degree of each component was obtained according to the characteristics of the suspension bridge and the results of wind and earthquake analyses. Then, the failure probability of the bridge structure was calculated using the theory of structural reliability. Finally, the risk assessment model of the suspension bridge based on improved Bayesian networks was proposed to evaluate the risk during bridge operation. The results show that considering the varying impacts of different bridge components, the bridge damage level can be categorized into four degrees based on its disaster resilience. Taking the Lingdingyang Bridge as an example, the maximum risk level under multihazard risks is level 3 according to the proposed method, which requires traffic restrictions and maintenance. Therefore, this method can guide the emergency management strategy of sea-crossing bridges in response to multihazard risks.

References:

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Memo

Memo:

Biographies: Liu Chengyin(1978—), male, doctor, professor;Jiang Zhaoshuo(corresponding author), male, doctor, associate professor, zsjiang@sfsu.edu.
Foundation items: The National Key Research and Development Program of China(No.2022YFB2602105), the National Natural Science Foundation of China(No.52378295), Guangdong Province Natural Science Foundation(No.2024A1515010296), Guangdong Provincial Key Laboratory of Intelligent and Resilient Structures for Civil Engineering(No.2023B1212010004), Shenzhen Science and Technology Program(No.KQTD20210811090112003).
Citation: Liu Chengyin, Ren Lichen, Jiang Zhaoshuo, et al.Multihazard risk assessment of sea-crossing suspension bridges based on an improved Bayesian network method[J].Journal of Southeast University(English Edition), 2024, 40(2):155-164.DOI:10.3969/j.issn.1003-7985.2024.02.006.

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