Finite Element Model Updating Using Bayesian Approach

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dc.creatorMarwala, Tshilidzi
dc.creatorMdlazi, Lungile
dc.creatorSibisi, Sibusiso
dc.date2007-05-17
dc.date.accessioned2026-07-07T08:02:02Z
dc.date.available2026-07-07T08:02:02Z
dc.descriptionThis paper compares the Maximum-likelihood method and Bayesian method for finite element model updating. The Maximum-likelihood method was implemented using genetic algorithm while the Bayesian method was implemented using the Markov Chain Monte Carlo. These methods were tested on a simple beam and an unsymmetrical H-shaped structure. The results show that the Bayesian method gave updated finite element models that predicted more accurate modal properties than the updated finite element models obtained through the use of the Maximum-likelihood method. Furthermore, both these methods were found to require the same levels of computational loads.
dc.description7 pages, IMAC2004
dc.identifierhttps://arxiv.org/abs/0705.2515
dc.identifierhttp://arxiv.org/abs/0705.2515
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/129103
dc.subjectApplications
dc.titleFinite Element Model Updating Using Bayesian Approach
dc.typetext

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