Online Damage Detection in Structural Systems

Online Damage Detection in Structural Systems

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This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring. Although the methods and algorithms used here are well established in the field of automatic control, their application in the realm of civil engineering has to date been limited. The monograph is therefore intended as a reference for structural and civil engineers who wish to conduct research in this field. To this end, the main notions underlying the families of Kalman and particle filters are scrutinized through explanations within the text and numerous numerical examples. The main limitations to their application in monitoring of high-rise buildings are discussed and a remedy based on a synergy of reduced order modeling (based on proper orthogonal decomposition) and Bayesian estimation is proposed. The performance and effectiveness of the proposed algorithm is demonstrated via pseudo-experimental evaluations.In (Doucet 1997), it was shown that the proposal distribution pAdxkjxkA€1;ykAž minimizes the variance of the importance weights, conditional on xkA€1 and yk. ... Accounting for sampling quality and computational complexity, the systematic resampling scheme adopted turns out to be the most ... Since particle filter handles the current, the actual PDF of the state to draw particles in prediction stage, it cananbsp;...

Title:Online Damage Detection in Structural Systems
Author:Saeed Eftekhar Azam
Publisher:Springer Science & Business Media - 2014-01-21


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