Probabilistic Framework with Bayesian Optimization for Predicting Typhoon-Induced Dynamic Responses of a Long-Span Bridge

Author:

Zhang Yi-Ming1,Wang Hao2,Mao Jian-Xiao3,Xu Zi-Dong4,Zhang Yu-Feng5

Affiliation:

1. Ph.D. Candidate, Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast Univ., Nanjing 211189, China; Ph.D. Candidate, Dept. of Civil Engineering, Monash Univ., Clayton, VIC 3800, Australia.

2. Professor, Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast Univ., Nanjing 211189, China (corresponding author).

3. Associate Research Professor, Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast Univ., Nanjing 211189, China.

4. Ph.D. Candidate, Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast Univ., Nanjing 211189, China.

5. Professorate Senior Engineer, State Key Laboratory on Safety and Health of In-Service Long-Span Bridges, Jiangsu Transportation Research Institute Co., Ltd., Nanjing 211112, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Reference57 articles.

1. Prediction of tool life in end milling by response surface methodology

2. Brochu E. V. M. Cora and N. De Freitas. 2010. “A tutorial on Bayesian optimization of expensive cost functions with application to active user modeling and hierarchical reinforcement learning.” Preprint submitted December 12 2010. https://arxiv.org/abs/1012.2599.

3. Framework of vehicle–bridge–wind dynamic analysis

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