Εμφάνιση απλής εγγραφής

dc.creatorPapadioti, D. C.en
dc.creatorPapadimitriou, C.en
dc.date.accessioned2015-11-23T10:43:05Z
dc.date.available2015-11-23T10:43:05Z
dc.date.issued2012
dc.identifier.isbn9780415621267
dc.identifier.urihttp://hdl.handle.net/11615/31711
dc.description.abstractBayesian estimators are proposed for damage identification (localization and quantification) of civil infrastructure using vibration measurements. The actual damage occurring in the structure is predicted by Bayesian model selection and updating of a family of parameterized, high-fidelity, finite element (FE) model classes with the members in the model class family introduced to monitor the large number of potential damage scenarios covering most critical parts of the structure. Asymptotic approximations as well as efficient stochastic simulation techniques are employed for estimating the posterior distribution of the model parameters and multi-dimensional probability integrals arising in the formulation. The proposed Bayesian estimator requires a large number of FE model simulations to be carried out which imposes severe computational limitations on the application of the damage identification technique. Component mode synthesis (CMS) techniques are effectively used to drastically reduce the computational effort. The methodology is illustrated by applying it to damage identification of a bridge using simulated damage scenarios.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-84874551569&partnerID=40&md5=3672bda86015be63f7db7b3a37fcd292
dc.subjectAsymptotic approximationen
dc.subjectBayesian estimatorsen
dc.subjectBayesian model selectionen
dc.subjectCivil infrastructuresen
dc.subjectComponent mode synthesisen
dc.subjectComputational efforten
dc.subjectComputational limitationsen
dc.subjectCritical partsen
dc.subjectDamage Identificationen
dc.subjectFE modelen
dc.subjectFinite element modelsen
dc.subjectModel parametersen
dc.subjectParameterizeden
dc.subjectPosterior distributionsen
dc.subjectStochastic simulation techniqueen
dc.subjectStructural damage localizationen
dc.subjectCivil engineeringen
dc.subjectDamage detectionen
dc.subjectEstimationen
dc.subjectLife cycleen
dc.subjectModal analysisen
dc.subjectStochastic modelsen
dc.subjectStructural analysisen
dc.subjectComputer simulationen
dc.titleFast Bayesian structural damage localization and quantification using high fidelity FE models and CMS techniquesen
dc.typeconferenceItemen


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