Εμφάνιση απλής εγγραφής

dc.creatorGiagopoulos, D.en
dc.creatorPapadioti, D. C.en
dc.creatorPapadimitriou, C.en
dc.creatorNatsiavas, S.en
dc.date.accessioned2015-11-23T10:27:52Z
dc.date.available2015-11-23T10:27:52Z
dc.date.issued2013
dc.identifier10.1007/978-1-4614-6564-5-4
dc.identifier.isbn9781461465638
dc.identifier.issn21915644
dc.identifier.urihttp://hdl.handle.net/11615/27832
dc.description.abstractA Bayesian uncertainty quantification and propagation (UQ&P) framework is presented for identifying nonlinear models of dynamic systems using vibration measurements of their components. The measurements are taken to be either response time histories or frequency response functions of linear and nonlinear components of the system. For such nonlinear models, stochastic simulation algorithms are suitable Bayesian tools to be used for identifying system and uncertainty models as well as perform robust prediction analyses. The UQ&P framework is applied to a small scale experimental model of a vehicle with nonlinear wheel and suspension components. Uncertainty models of the nonlinear wheel and suspension components are identified using the experimentally obtained response spectra for each of the components tested separately. These uncertainties, integrated with uncertainties in the body of the experimental vehicle, are propagated to estimate the uncertainties of output quantities of interest for the combined wheel-suspension-frame system. The computational challenges are outlined and the effectiveness of the Bayesian UQ&P framework on the specific example structure is demonstrated. © The Society for Experimental Mechanics Inc. 2013.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-84880551080&partnerID=40&md5=04e752537f9625bda1018caada03e6ea
dc.subjectBayesian inferenceen
dc.subjectNonlinear dynamicsen
dc.subjectSubstructuringen
dc.subjectSystem identificationen
dc.subjectUncertainty identificationen
dc.subjectComputational challengesen
dc.subjectFrequency response functionsen
dc.subjectNonlinear structural dynamicsen
dc.subjectStochastic simulation algorithmsen
dc.subjectSub-structuringen
dc.subjectUncertainty quantification and propagationen
dc.subjectAutomobile suspensionsen
dc.subjectBayesian networksen
dc.subjectDynamicsen
dc.subjectFrequency responseen
dc.subjectIdentification (control systems)en
dc.subjectInference enginesen
dc.subjectNonlinear systemsen
dc.subjectStochastic modelsen
dc.subjectStructural dynamicsen
dc.subjectSuspensions (components)en
dc.subjectVehicle wheelsen
dc.subjectUncertainty analysisen
dc.titleBayesian uncertainty quantification and propagation in nonlinear structural dynamicsen
dc.typeconferenceItemen


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Εμφάνιση απλής εγγραφής