A Bayesian Probabilistic Approach for Structure Damage Detection
نویسنده
چکیده
A Bayesian probabilistic approach is presented for the damage detection of multistory frame structures. In this paper, a Bayesian probabilistic approach is applied to identify multiple damage locations using estimated modal parameters when (1) the measurement data are potentially corrupted with noise, (2) only a small number of degrees of freedom are measured, and (3) a few fundamental modes are estimated. To reduce the potentially intensive computational cost of the proposed method, a branch-and-bound search scheme is proposed and a simpli ed approach for the modeling of multistory frame structures is employed. A six story shear frame example and two multistory frame examples, with multiple damage locations, are presented to illustrate the applicability of the proposed approach.
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