Damage detection in an uncertain nonlinear beam

Detalhes bibliográficos
Autor(a) principal: Villania, Luis Gustavo Giacon [UNESP]
Data de Publicação: 2017
Outros Autores: Silvaa, Samuel Da [UNESP], Cunha, Americo
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.proeng.2017.09.480
http://hdl.handle.net/11449/175257
Resumo: The present paper proposes the use of discrete time Volterra series expanded with Kautz filters for predicting the experimental response of a nonlinear beam, taking into account uncertainties that are inherent to the system. Nonlinear behavior is simulated considering large amplitude of vibration in a clamped-free beam, with a magnet near the free end to cause cubic sti-ness e-ect. The Volterra kernels and Kautz functions are estimated in a stochastic way, where the limits of confidence are established to the system response and used as a reference model to detect damage. The detection approach is based on a nonlinear stochastic index and hypothesis test, considering di-erent levels of simulated damage, associated with loss of mass. The results have shown that considering the uncertainties when identifying the model is very important in the process of damage detection and the nonlinear metric proved to be more appropriated to describe the system response with better results mainly in the nonlinear regime of motion.
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spelling Damage detection in an uncertain nonlinear beamNonlinear dynamicsSHMUncertainties quantificationVolterra seriesThe present paper proposes the use of discrete time Volterra series expanded with Kautz filters for predicting the experimental response of a nonlinear beam, taking into account uncertainties that are inherent to the system. Nonlinear behavior is simulated considering large amplitude of vibration in a clamped-free beam, with a magnet near the free end to cause cubic sti-ness e-ect. The Volterra kernels and Kautz functions are estimated in a stochastic way, where the limits of confidence are established to the system response and used as a reference model to detect damage. The detection approach is based on a nonlinear stochastic index and hypothesis test, considering di-erent levels of simulated damage, associated with loss of mass. The results have shown that considering the uncertainties when identifying the model is very important in the process of damage detection and the nonlinear metric proved to be more appropriated to describe the system response with better results mainly in the nonlinear regime of motion.UNESP - Universidade Estadual Paulista Faculdade de Engenharia de Ilha Solteira Departamento de Engenharia Meĉanica, Av. Brasil, 56UERJ - Universidade Do Estado Do Rio de Janeiro NUMERICO - Nucleus of Modeling and Experimentation with Computers, R. São Francisco Xavier, 524UNESP - Universidade Estadual Paulista Faculdade de Engenharia de Ilha Solteira Departamento de Engenharia Meĉanica, Av. Brasil, 56Universidade Estadual Paulista (Unesp)Universidade do Estado do Rio de Janeiro (UERJ)Villania, Luis Gustavo Giacon [UNESP]Silvaa, Samuel Da [UNESP]Cunha, Americo2018-12-11T17:15:01Z2018-12-11T17:15:01Z2017-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject2090-2095http://dx.doi.org/10.1016/j.proeng.2017.09.480Procedia Engineering, v. 199, p. 2090-2095.1877-7058http://hdl.handle.net/11449/17525710.1016/j.proeng.2017.09.4802-s2.0-85029905366Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProcedia Engineering1945220,282info:eu-repo/semantics/openAccess2024-07-04T20:06:35Zoai:repositorio.unesp.br:11449/175257Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:08:04.468022Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Damage detection in an uncertain nonlinear beam
title Damage detection in an uncertain nonlinear beam
spellingShingle Damage detection in an uncertain nonlinear beam
Villania, Luis Gustavo Giacon [UNESP]
Nonlinear dynamics
SHM
Uncertainties quantification
Volterra series
title_short Damage detection in an uncertain nonlinear beam
title_full Damage detection in an uncertain nonlinear beam
title_fullStr Damage detection in an uncertain nonlinear beam
title_full_unstemmed Damage detection in an uncertain nonlinear beam
title_sort Damage detection in an uncertain nonlinear beam
author Villania, Luis Gustavo Giacon [UNESP]
author_facet Villania, Luis Gustavo Giacon [UNESP]
Silvaa, Samuel Da [UNESP]
Cunha, Americo
author_role author
author2 Silvaa, Samuel Da [UNESP]
Cunha, Americo
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade do Estado do Rio de Janeiro (UERJ)
dc.contributor.author.fl_str_mv Villania, Luis Gustavo Giacon [UNESP]
Silvaa, Samuel Da [UNESP]
Cunha, Americo
dc.subject.por.fl_str_mv Nonlinear dynamics
SHM
Uncertainties quantification
Volterra series
topic Nonlinear dynamics
SHM
Uncertainties quantification
Volterra series
description The present paper proposes the use of discrete time Volterra series expanded with Kautz filters for predicting the experimental response of a nonlinear beam, taking into account uncertainties that are inherent to the system. Nonlinear behavior is simulated considering large amplitude of vibration in a clamped-free beam, with a magnet near the free end to cause cubic sti-ness e-ect. The Volterra kernels and Kautz functions are estimated in a stochastic way, where the limits of confidence are established to the system response and used as a reference model to detect damage. The detection approach is based on a nonlinear stochastic index and hypothesis test, considering di-erent levels of simulated damage, associated with loss of mass. The results have shown that considering the uncertainties when identifying the model is very important in the process of damage detection and the nonlinear metric proved to be more appropriated to describe the system response with better results mainly in the nonlinear regime of motion.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
2018-12-11T17:15:01Z
2018-12-11T17:15:01Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.proeng.2017.09.480
Procedia Engineering, v. 199, p. 2090-2095.
1877-7058
http://hdl.handle.net/11449/175257
10.1016/j.proeng.2017.09.480
2-s2.0-85029905366
url http://dx.doi.org/10.1016/j.proeng.2017.09.480
http://hdl.handle.net/11449/175257
identifier_str_mv Procedia Engineering, v. 199, p. 2090-2095.
1877-7058
10.1016/j.proeng.2017.09.480
2-s2.0-85029905366
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Procedia Engineering
194522
0,282
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 2090-2095
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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