Two-stage stochastic model updating approach based on Bayesian framework and hybrid multi-population migrant genetic–Metropolis–Hastings algorithm for heavy-haul railway bridges-Reference-Cited by-同舟云学术

Two-stage stochastic model updating approach based on Bayesian framework and hybrid multi-population migrant genetic–Metropolis–Hastings algorithm for heavy-haul railway bridges

Published:2024-05-29 Issue: Volume: Page:1-24
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Yang Hongyin¹²,Wu Nanhao¹,Cao Hongyou³,Zhang Wei¹

Affiliation:

1. School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, People’s Republic of China

2. Engineering Research Center of Disaster Prevention and Mitigation of Southeast Coastal Engineering Structures (JDGC03), Fujian Province University, Putian, People’s Republic of China

3. School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, People’s Republic of China

Funder

National Natural Science Foundation of China

the Open Projects Foundation of Engineering Research Center of Disaster Prevention and Mitigation of Southeast Coastal Engineering Structures of Fujian Province University

the Construction Science and Technology Plan Projects of Hubei Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2024.2351197

Reference45 articles.

1. Genetic algorithms as classical optimizer for the Quantum Approximate Optimization Algorithm

2. Damage identification in three-dimensional structures using single-objective evolutionary algorithms and finite element model updating: evaluation and comparison

3. DAMAGE IDENTIFICATION IN REINFORCED CONCRETE BEAMS BY FINITE ELEMENT MODEL UPDATING USING PARALLEL AND HYBRID GENETIC ALGORITHMS

4. Updating Models and Their Uncertainties. I: Bayesian Statistical Framework

5. Structural Damage Detection Using Modal Strain Energy and Hybrid Multiobjective Optimization