dc.contributorInstitute of Mechanical Engineering and Industrial Management
dc.contributorUniversidade Federal de São Carlos (UFSCar)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:13:01Z
dc.date.available2018-12-11T17:13:01Z
dc.date.created2018-12-11T17:13:01Z
dc.date.issued2017-01-01
dc.identifierLatin American Journal of Solids and Structures, v. 14, n. 7, p. 1183-1199, 2017.
dc.identifier1679-7825
dc.identifier1679-7817
dc.identifierhttp://hdl.handle.net/11449/174824
dc.identifier10.1590/1679-78253853
dc.identifierS1679-78252017000701183
dc.identifier2-s2.0-85021643867
dc.identifierS1679-78252017000701183.pdf
dc.description.abstractIn this study, the discrete-time Volterra series are used to update parameters in a nonlinear finite element model. The main idea of the Volterra series is to describe the discrete-time output of a nonlinear system using multidimensional convolutions between the Volterra kernels represented in a Kautz orthogonal basis and the excitations. A metric based on the residue between the experimental and the numerical Volterra kernels is used to identify the parameters of the numerical model. First, the identification of the linear parameters is performed using a metric based only on the first order Volterra kernels. Then the nonlinear parameters are identified through a metric based on the higher-order kernels. The originality of this nonlinear updating method stems from the decoupling of linear and nonlinear parameters and the use of global nonlinear model. In order to put in light the applicability of this technique, this work focus on the identification of the parameters in a nonlinear finite element model of a beam that was preloaded by compression mechanism. This work shows that the updated numerical model was able to represent the behaviour observed in the experimental measurements.
dc.languageeng
dc.relationLatin American Journal of Solids and Structures
dc.relation0,522
dc.relation0,522
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectDiscrete-time Volterra series
dc.subjectKautz filters
dc.subjectModel updating
dc.subjectNonlinear finite element model
dc.subjectNonlinear identification
dc.subjectSensitivity
dc.titleUpdating of a nonlinear finite element model using discrete-time volterra series
dc.typeArtículos de revistas


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