References
[1]. Zhao Yanlong. Construction Security Risks Analysis and Control of Superstructure of Lang-span Cable-stayed Bridge Based on Bayesian Belief Network [D]. Chongqing Jiaotong University, 2013.
[2]. Wu Qihe. Healthy Assessment of the RC Beam Bridge Based on Structural Reliability Theory [D]. Southwest Jiaotong University, 2006.
[3]. Liu Zhiwen. Comparison of Calculation Methods of Static Wind Loading on Stay Cables of Large Span Cable-stayed Bridges [J]. Journal of Tongji University (Natural Science), 2005(05):575-579.
[4]. Ruan Xin. Risk Assessment System and Key Issues for Bridge Engineering [D]. Tongji University, 2006.
[5]. Zhang Jie. Study on Risk Analysis Method of Long-span Bridge during Construction [D]. Tongji University, 2007.
[6]. Song Junho, Kang Wonhee. System Reliability and Sensitivity Under Statistical Dependence by Matrix-Based System Reliability Method[J]. Structural Safety, 2009, 31(2): 148-156
[7]. GEHL P. Bayesian Networks for The Multi-Risk Assessment of Road Infrastructure[C]// 12th International Conference on Applications of Statistics and Probability in Civil Engineering. 2017.
[8]. Yang Dong. Research on Risk Assessment and Deformation Prediction of Existing Bridges Structures [D]. Wuhan University of Technology, 2018.
[9]. Yang Shuzhi. Risk Assessment of Cable-stayed Bridges on Haihe River during Operation [D]. Lanzhou Jiaotong University, 2019. DOI:10.27205/d.cnki.gltec.2019.000946.
[10]. Wan Huaping, Ren Weixin. Stochastic model updating approach by using Bayesian inference [J]. Journal of Highway and Transport, 2016, 29(4): 67-76.
[11]. Maroni A, Tubaldi E. A Bayesian network-based decision framework for managing bridge scour risk [J]. Proceedings of SPIE, 2020, 11379: 9-17.
[12]. Wang Kailong. Risk Analysis of Wind Resistance Safety of Cable-stayed Bridge during in-service Period [D]. Institute of Disaster Prevention, 2022. DOI:10.27899/d.cnki.gfzkj.2022.000037.
[13]. Wang Kailong. Risk Analysis of Wind Resistance Safety of Cable-stayed Bridge during in-service Period [D]. Institute of Disaster Prevention, 2022. DOI:10.27899/d.cnki.gfzkj.2022.000037.
[14]. Jing Dade, Li Chaoping. Comparative Study on Vortex-Induced Vibration Stipulations in Wind -Resistant Design Specifications for Bridges in China, Japan and Europe [J]. Word Bridges, 2022,50(05):55-60.
[15]. Wang Kailong. Risk Analysis of Wind Resistance Safety of Cable-stayed Bridge during in-service Period [D]. Institute of Disaster Prevention, 2022. DOI:10.27899/d.cnki.gfzkj.2022.000037.
[16]. Wang Lifeng, Xiao Ziwang. New risk analysis method based on Bayesian network for hanging basker system of multi-tower cable-stayed bridge [J]. Journal of Jilin University (Engineering and Technology Edition), 2022, 52(4): 866-873.
[17]. Introduction of Humen Bridge suspension cable engineering [J]. Guangdong Highway Communications, 1995(04): 1-7.
[18]. Yang yanjian. Multi-Hazard Risk Assessment for High Piers and Towers of Sea-Span Suspension Bridges Based on Bayesian Network [D]. Harbin Institute of Technology, 2021.DOI:10.27061/d.cnki.ghgdu.2021.000612.
Cite this article
Wu,S. (2023). Risk assessment of wind resistance safety of cable-stayed bridge based on Bayesian network. Theoretical and Natural Science,5,910-921.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Zhao Yanlong. Construction Security Risks Analysis and Control of Superstructure of Lang-span Cable-stayed Bridge Based on Bayesian Belief Network [D]. Chongqing Jiaotong University, 2013.
[2]. Wu Qihe. Healthy Assessment of the RC Beam Bridge Based on Structural Reliability Theory [D]. Southwest Jiaotong University, 2006.
[3]. Liu Zhiwen. Comparison of Calculation Methods of Static Wind Loading on Stay Cables of Large Span Cable-stayed Bridges [J]. Journal of Tongji University (Natural Science), 2005(05):575-579.
[4]. Ruan Xin. Risk Assessment System and Key Issues for Bridge Engineering [D]. Tongji University, 2006.
[5]. Zhang Jie. Study on Risk Analysis Method of Long-span Bridge during Construction [D]. Tongji University, 2007.
[6]. Song Junho, Kang Wonhee. System Reliability and Sensitivity Under Statistical Dependence by Matrix-Based System Reliability Method[J]. Structural Safety, 2009, 31(2): 148-156
[7]. GEHL P. Bayesian Networks for The Multi-Risk Assessment of Road Infrastructure[C]// 12th International Conference on Applications of Statistics and Probability in Civil Engineering. 2017.
[8]. Yang Dong. Research on Risk Assessment and Deformation Prediction of Existing Bridges Structures [D]. Wuhan University of Technology, 2018.
[9]. Yang Shuzhi. Risk Assessment of Cable-stayed Bridges on Haihe River during Operation [D]. Lanzhou Jiaotong University, 2019. DOI:10.27205/d.cnki.gltec.2019.000946.
[10]. Wan Huaping, Ren Weixin. Stochastic model updating approach by using Bayesian inference [J]. Journal of Highway and Transport, 2016, 29(4): 67-76.
[11]. Maroni A, Tubaldi E. A Bayesian network-based decision framework for managing bridge scour risk [J]. Proceedings of SPIE, 2020, 11379: 9-17.
[12]. Wang Kailong. Risk Analysis of Wind Resistance Safety of Cable-stayed Bridge during in-service Period [D]. Institute of Disaster Prevention, 2022. DOI:10.27899/d.cnki.gfzkj.2022.000037.
[13]. Wang Kailong. Risk Analysis of Wind Resistance Safety of Cable-stayed Bridge during in-service Period [D]. Institute of Disaster Prevention, 2022. DOI:10.27899/d.cnki.gfzkj.2022.000037.
[14]. Jing Dade, Li Chaoping. Comparative Study on Vortex-Induced Vibration Stipulations in Wind -Resistant Design Specifications for Bridges in China, Japan and Europe [J]. Word Bridges, 2022,50(05):55-60.
[15]. Wang Kailong. Risk Analysis of Wind Resistance Safety of Cable-stayed Bridge during in-service Period [D]. Institute of Disaster Prevention, 2022. DOI:10.27899/d.cnki.gfzkj.2022.000037.
[16]. Wang Lifeng, Xiao Ziwang. New risk analysis method based on Bayesian network for hanging basker system of multi-tower cable-stayed bridge [J]. Journal of Jilin University (Engineering and Technology Edition), 2022, 52(4): 866-873.
[17]. Introduction of Humen Bridge suspension cable engineering [J]. Guangdong Highway Communications, 1995(04): 1-7.
[18]. Yang yanjian. Multi-Hazard Risk Assessment for High Piers and Towers of Sea-Span Suspension Bridges Based on Bayesian Network [D]. Harbin Institute of Technology, 2021.DOI:10.27061/d.cnki.ghgdu.2021.000612.