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A Bayesian probabilistic approach for structure damage detection
Author(s) -
Sohn Hoon,
Law Kincho H.
Publication year - 1997
Publication title -
earthquake engineering and structural dynamics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.218
H-Index - 127
eISSN - 1096-9845
pISSN - 0098-8847
DOI - 10.1002/(sici)1096-9845(199712)26:12<1259::aid-eqe709>3.0.co;2-3
Subject(s) - probabilistic logic , frame (networking) , bayesian probability , modal , engineering , structural engineering , data mining , computer science , algorithm , artificial intelligence , telecommunications , chemistry , polymer chemistry
A Bayesian probabilistic approach is presented for the damage detection of multistorey 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 simplified approach for the modelling of multistorey frame structures is employed. A six‐storey shear frame example and two multistorey frame examples, with multiple damage locations, are presented to illustrate the applicability of the proposed approach. © 1997 John Wiley & Sons, Ltd.