Research on Bayesian finite element model updating method based on multiple Markov chains

摘要：

　　To solve the problem of precision of traditional MCMC method is inefficiency under high-dimension,an differential evolution algorithm is introduced to improve the calculation precision under high-dimension parameter; an subspace sampling algorithm is introduced to select the dimension sampling with adaptive strategy; an anomaly chain detection algorithm is introduced to improve the convergence speed,and applying in actual structure of Gao jia garden bridge.The result is show that the error of frequency after correction is universally decreasing to below 5%,and the MAC is increasing to 0.998,thus,the correct effection is ideal,which can provide a accurate finite element modal for actual engineering structures.

关键词： finite element model markov chain bayesian differential evolution subspace sampling

作者: JIANG Wei

作者单位: School of Civil Engineering,Chongqing University,Chongqing,China

会议类型: 国际会议

会议名称: The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)

会议地点: 青岛

会议语种:英文

页码: 1951-1958

在线出版日期: 2018-07-22（万方平台首次上网日期，不代表论文的发表时间）