Adaptive Sampling-Based Bayesian Model Updating for Bridges Considering Substructure Approach-Reference-Cited by-同舟云学术

Adaptive Sampling-Based Bayesian Model Updating for Bridges Considering Substructure Approach

Published:2023-09 Issue:3 Volume:9 Page:
ISSN:2376-7642
Container-title:ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
language:en
Short-container-title:ASCE-ASME J. Risk Uncertainty Eng. Syst., Part A: Civ. Eng.

Author:

Yang Shu-Han¹,Yi Ting-Hua²,Qu Chun-Xu³,Zhang Song-Han⁴,Li Chong⁵

Affiliation:

1. Ph.D. Candidate, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China.

2. Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China; Professor, School of Civil and Transportation Engineering, Beijing Univ. of Civil Engineering and Architecture, Beijing 102616, China (corresponding author).

3. Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China.

4. Associate Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China.

5. Senior Engineer, China Communications Construction Company Limited (CCCC) Highway Bridges National Engineering Research Centre Co., Ltd., No. 23 Huangsi St., Xicheng District, Beijing 100120, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/AJRUA6.RUENG-1077

Reference34 articles.

1. Bayesian Updating of Structural Models and Reliability using Markov Chain Monte Carlo Simulation

2. Transitional Markov Chain Monte Carlo: Observations and Improvements

3. Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating, Model Class Selection, and Model Averaging

4. Application of the transitional Markov chain Monte Carlo algorithm to probabilistic site characterization

5. Coupling of substructures for dynamic analyses.

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