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Bayesian system identification based on hierarchical sparse Bayesian learning and Gibbs sampling with application to structural damage assessment

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Published in 2017 at "Computer Methods in Applied Mechanics and Engineering"

DOI: 10.1016/j.cma.2017.01.030

Abstract: Bayesian system identification has attracted substantial interest in recent years for inferring structural models based on measured dynamic response from a structural dynamical system. The focus in this paper is Bayesian system identification based on… read more here.

Keywords: system; bayesian system; system identification; damage ... See more keywords