Abstract

An adaptive meta-model is integrated into a finite element model updating formulation using dynamic response data. A Bayesian model updating approach based on a stochastic simulation method is considered in the present formulation. Such approach is combined with a surrogate technique and an ef- ficient model reduction technique. The integration of these techniques into the updating process reduces the computational effort to manageable levels allowing the solution of complex problems.