Damage detection in nonlinear structures using discrete-time volterra series

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorShiki, Sidney Bruce
dc.creatorJunior, Vicente Lopes
dc.creatorDa Silva, Samuel
dc.date2014-05-27T11:30:42Z
dc.date2016-10-25T18:54:10Z
dc.date2014-05-27T11:30:42Z
dc.date2016-10-25T18:54:10Z
dc.date2013-09-16
dc.date.accessioned2017-04-06T02:39:03Z
dc.date.available2017-04-06T02:39:03Z
dc.identifierKey Engineering Materials, v. 569-570, p. 876-883.
dc.identifier1013-9826
dc.identifierhttp://hdl.handle.net/11449/76571
dc.identifierhttp://acervodigital.unesp.br/handle/11449/76571
dc.identifier10.4028/www.scientific.net/KEM.569-570.876
dc.identifierWOS:000326409000109
dc.identifier2-s2.0-84883727668
dc.identifierhttp://dx.doi.org/10.4028/www.scientific.net/KEM.569-570.876
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/897263
dc.descriptionStructural damage identification is basically a nonlinear phenomenon; however, nonlinear procedures are not used currently in practical applications due to the complexity and difficulty for implementation of such techniques. Therefore, the development of techniques that consider the nonlinear behavior of structures for damage detection is a research of major importance since nonlinear dynamical effects can be erroneously treated as damage in the structure by classical metrics. This paper proposes the discrete-time Volterra series for modeling the nonlinear convolution between the input and output signals in a benchmark nonlinear system. The prediction error of the model in an unknown structural condition is compared with the values of the reference structure in healthy condition for evaluating the method of damage detection. Since the Volterra series separate the response of the system in linear and nonlinear contributions, these indexes are used to show the importance of considering the nonlinear behavior of the structure. The paper concludes pointing out the main advantages and drawbacks of this damage detection methodology. © (2013) Trans Tech Publications.
dc.languageeng
dc.relationKey Engineering Materials
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectNonlinear structures
dc.subjectStructural health monitoring
dc.subjectSystem identification
dc.subjectVolterra series
dc.subjectNon-linear phenomena
dc.subjectNonlinear behavior
dc.subjectNonlinear contributions
dc.subjectNonlinear dynamical effect
dc.subjectNonlinear structure
dc.subjectStructural condition
dc.subjectStructural damage identification
dc.subjectVolterra Series
dc.subjectIdentification (control systems)
dc.subjectDamage detection
dc.titleDamage detection in nonlinear structures using discrete-time volterra series
dc.typeOtro


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