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多链MCMC有限元模型修正收敛判定方法研究

刘纲 谭帅帅 邹春蓉 陈奇

湖南大学学报(自然科学版)2024,Vol.51Issue(11):85-93,9.
湖南大学学报(自然科学版)2024,Vol.51Issue(11):85-93,9.DOI:10.16339/j.cnki.hdxbzkb.2024110

多链MCMC有限元模型修正收敛判定方法研究

Convergence Determination Method for Multi-chain MCMC Finite Element Model Modification

刘纲 1谭帅帅 2邹春蓉 3陈奇2

作者信息

  • 1. 重庆大学 山地城镇建设与新技术教育部重点实验室,重庆 400045||重庆大学 土木工程学院,重庆 400045
  • 2. 重庆大学 土木工程学院,重庆 400045
  • 3. 中铁西南科学研究院有限公司,四川 成都 611731
  • 折叠

摘要

Abstract

An automatic determination method for the convergence and required posterior samples is proposed to address the problem that the multi-chain MCMC algorithm mainly relies on setting a large number of iteration steps to generate a sufficient number of posterior samples.The optimal competition strategy was introduced at the beginning of the MCMC algorithm iteration,replacing the random difference by the directional difference,so that the samples could be moved to the target direction quickly to accelerate the computational efficiency.Based on the sampling distribution theorem,a t-distribution determination index was constructed using samples within a period of time to automatically determine whether the multi-chain MCMC converged and automatically terminated the algorithm after the sample size meets the statistical requirements,so as to reduce the computational workload of the smooth period.The numerical examples and the results of the real bridge correction show that the proposed determination method can improve the computational efficiency of the multi-chain MCMC algorithm by 30%with the same calculation accuracy,and the entire iteration process can be accelerated by about 50%considering the preset step size,which provides a method to support the application of Bayesian-based finite element model correction in large civil engineering.

关键词

建筑结构/有限元模型修正/贝叶斯估计/马尔可夫链/判别指标

Key words

building structure/finite element model modification/Bayesian estimation/Markov chains/discriminant index

分类

建筑与水利

引用本文复制引用

刘纲,谭帅帅,邹春蓉,陈奇..多链MCMC有限元模型修正收敛判定方法研究[J].湖南大学学报(自然科学版),2024,51(11):85-93,9.

基金项目

国家自然科学基金资助项目(52078084),National Natural Science Foundation of China(52078084) (52078084)

湖南大学学报(自然科学版)

OA北大核心CSTPCD

1674-2974

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