Matches in SemOpenAlex for { <https://semopenalex.org/work/W2564403419> ?p ?o ?g. }
- W2564403419 abstract "AbstractStructural 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 damage locations; varying damage severity; the introduction of noise and modelling errors and incompleteness in the number of captured modes and measurement response data applied to a beam structure. The results obtained across the damage scenarios are observed to be robust. A comparison against existing power..." @default.
- W2564403419 created "2017-01-06" @default.
- W2564403419 creator A5025856575 @default.
- W2564403419 creator A5061242226 @default.
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- W2564403419 date "2016-12-01" @default.
- W2564403419 modified "2023-09-23" @default.
- W2564403419 title "A wavelet-based Bayesian damage identification technique using an evolutionary algorithm" @default.
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- W2564403419 doi "https://doi.org/10.1080/13287982.2016.1259712" @default.
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