Structural health monitoring by recursive bayesian filtering / Yangbo Chen in Journal of engineering mechanics, Vol. 135 N° 4 (Avril 2009)  

Structural health monitoring by recursive bayesian filtering [texte imprimé] / Yangbo Chen, Auteur ; Feng, Maria Q., Auteur . - pp. 231-242.
Mécanique appliquée
Langues : Anglais (eng)
in Journal of engineering mechanics > Vol. 135 N° 4 (Avril 2009) . - pp. 231-242

Mots-clés :	Bayesian analysis Filters Monitoring Assessments Vibration Identification Structural analysis.
Résumé :	A new vision of structural health monitoring (SHM) is presented, in which the ultimate goal of SHM is not limited to damage identification, but to describe the structure by a probabilistic model, whose parameters and uncertainty are periodically updated using measured data in a recursive Bayesian filtering (RBF) approach. Such a model of a structure is essential in evaluating its current condition and predicting its future performance in a probabilistic context. RBF is conventionally implemented by the extended Kalman filter, which suffers from its intrinsic drawbacks. Recent progress on high-fidelity propagation of a probability distribution through nonlinear functions has revived RBF as a promising tool for SHM. The central difference filter, as an example of the new versions of RBF, is implemented in this study, with the adaptation of a convergence and consistency improvement technique. Two numerical examples are presented to demonstrate the superior capacity of RBF for a SHM purpose. The proposed method is also validated by large-scale shake table tests on a reinforced concrete two-span three-bent bridge specimen.
DEWEY :	620.1
ISSN :	0733-9399
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