Damage detection in an uncertain nonlinear beam
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1808128609756381184 |