期刊
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
卷 279, 期 -, 页码 301-324出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2014.06.032
关键词
Bayesian updating; Dynamic response; Finite elements; Model reduction techniques; Stochastic simulation
资金
- CONICYT [1110061]
- ARISTEIA Action of the Operational Programme Education and Lifelong Learning [53-UQ-dynamics]
- European Social Fund (ESF)
- Greek National Resources
This work presents a strategy for integrating a class of model reduction techniques into a finite element model updating formulation. In particular a Bayesian model updating approach based on a stochastic simulation method is considered in the present formulation. Stochastic simulation techniques require a large number of finite element model re-analyses to be performed over the space of model parameters during the updating process. Substructure coupling techniques for dynamic analysis are proposed to reduce the computational cost involved in the dynamic re-analyses. The effectiveness of the proposed strategy is demonstrated with identification and model updating applications for finite element building models using simulated seismic response data. (C) 2014 Elsevier B.V. All rights reserved.
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