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Bayesian Model Updating for Structural Dynamic Applications Combing Differential Evolution Adaptive Metropolis and Kriging Model
| 题名： | Bayesian Model Updating for Structural Dynamic Applications Combing Differential Evolution Adaptive Metropolis and Kriging Model |
| 正文语种： | eng |
| 作者： | Jice Zeng;Young Hoon Kim;Shiqiang Qin |
| 作者单位： | Univ. of Louisville;Univ. of Louisville;Wuhan Univ. of Technology |
| 关键词： | Structural health monitoring;Structural dynamics;Bayesian model updating;Variance-based global sensitivity analysis;Kriging model;Differential evolution adaptive metropolis (DREAM) |
| 摘要： | Abstract The Bayesian model updating approach has attracted much attention by providing the most probable values (MPVs) of physical parameters and their uncertainties. However, the Bayesian approach has challenges in high-dimensional problems and requires high computational costs in large-scale engineering structures dealing with structural dynamics. This study proposes a new Bayesian updating framework using the Differential Evolution Adaptive Metropolis (DREAM) algorithm to enhance the Bayesian approach’s performance and computational efficiency. In addition, two time-saving strategies are proposed. Firstly, variance-based global sensitivity analysis is used to eliminate insignificant parameters to model responses and reduce model dimensionality. Secondly, a fast-running kriging model is employed as a surrogate of the time-consuming finite-element (FE) model to alleviate the computational burden. DREAM essentially is a multichain sampling method that runs different paths to seek all possible solutions and accurately approximate the posterior probability distribution function in the Bayesian approach. The proposed updating framework was demonstrated using one numerical example and a real-world cable-stayed pedestrian bridge. The results showed that the proposed method enables rationally identifying structural parameters and recovering dynamic responses. Compared with the traditional Bayesian approach without a surrogate model, the computational cost is orders of magnitude lower. |
| 出版年： | 2023 |
| 期刊名称： | Journal of structural engineering |
| 卷： | 149 |
| 期： | 6 |
| 页码： | 1.1-1.18 |
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