Implementation of an adaptive meta-model for Bayesian finite element model updating in time domain

详细信息    查看全文

• 作者：H.A. Jensen^a ; ^{hector.jensen@usm.cl} ; C. Esse^a ; V. Araya^a ; C. Papadimitriou^b
• 关键词：Advanced simulation methods ; Bayesian model updating ; Kriging approximation ; Reduced-order models ; Transitional Markov chain Monte Carlo
• 刊名：Reliability Engineering & System Safety
• 出版年：2017
• 出版时间：April 2017
• 年：2017
• 卷：160
• 期：Complete
• 页码：174-190
• 全文大小：2233 K
• 卷排序：160

文摘

An adaptive meta-model has been implemented into a model updating formulation. Kriging estimates are constructed by reduced-order models. The approach is used for updating finite element models using simulated response data. Computational effort is reduced to manageable levels. Numerical efficiency is achieved without compromising the accuracy of the results.