Journal article

A wavelet-based Bayesian damage identification technique using an evolutionary algorithm

Maryam Varmazyar, Nicholas Haritos, Michael Kirley

AUSTRALIAN JOURNAL OF STRUCTURAL ENGINEERING | TAYLOR & FRANCIS AS | Published : 2016

Abstract

Structural damage identification is a challenging task, especially when response measurements have local discontinuities and display non-stationarity. This paper presents a one-stage model-based damage identification technique using wavelet power spectra to address this problem. To detect, locate and estimate the severity of damage, the finite element model is updated using a Bayesian probabilistic approach and a covariance matrix adaptation evolution strategy, taking into account the uncertainty caused by measurement noise and modelling error. A range of numerical simulations are used to evaluate the efficacy of the model under different damage scenarios, including: both single and multiple..

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