Data-driven model identification of guided wave propagation in composite structures
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s40430-018-1462-4 http://hdl.handle.net/11449/187016 |
Resumo: | This paper shows the applicability of data-driven model identification to describe guided wave propagation in composite structures. The model identified can be useful to predict waveform or further conditions considering the dynamics of wave propagation in composites media, mainly when the geometry or boundary conditions are complex and make it very difficult to propose an analytical model. Thus, the main purpose of this paper is to use a simple autoregressive with exogenous terms model to fit the experimental data assuming different frequencies of excitation and the effect of temperature changes. An example using a composite plate is performed in this paper to show the steps and applicability. After these analyses, the results obtained demonstrate the practical benefits of the black-box model for modeling of guided wave propagation in complex composite structures for aeronautical applications. |
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Repositório Institucional da UNESP |
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2946 |
spelling |
Data-driven model identification of guided wave propagation in composite structuresARX modelComposite structuresGuided wave propagationLamb waveSystem identificationThis paper shows the applicability of data-driven model identification to describe guided wave propagation in composite structures. The model identified can be useful to predict waveform or further conditions considering the dynamics of wave propagation in composites media, mainly when the geometry or boundary conditions are complex and make it very difficult to propose an analytical model. Thus, the main purpose of this paper is to use a simple autoregressive with exogenous terms model to fit the experimental data assuming different frequencies of excitation and the effect of temperature changes. An example using a composite plate is performed in this paper to show the steps and applicability. After these analyses, the results obtained demonstrate the practical benefits of the black-box model for modeling of guided wave propagation in complex composite structures for aeronautical applications.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Departamento de Engenharia Mecânica Faculdade de Engenharia UNESP - Universidade Estadual PaulistaDepartamento de Engenharia Mecânica Faculdade de Engenharia UNESP - Universidade Estadual PaulistaFAPESP: 2017/15512-8CNPq: 307520/2016-1Universidade Estadual Paulista (Unesp)da Silva, Samuel [UNESP]2019-10-06T15:22:53Z2019-10-06T15:22:53Z2018-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s40430-018-1462-4Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 40, n. 11, 2018.1806-36911678-5878http://hdl.handle.net/11449/18701610.1007/s40430-018-1462-42-s2.0-85055727526Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of the Brazilian Society of Mechanical Sciences and Engineeringinfo:eu-repo/semantics/openAccess2021-10-22T21:09:59Zoai:repositorio.unesp.br:11449/187016Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:02:22.450941Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Data-driven model identification of guided wave propagation in composite structures |
title |
Data-driven model identification of guided wave propagation in composite structures |
spellingShingle |
Data-driven model identification of guided wave propagation in composite structures da Silva, Samuel [UNESP] ARX model Composite structures Guided wave propagation Lamb wave System identification |
title_short |
Data-driven model identification of guided wave propagation in composite structures |
title_full |
Data-driven model identification of guided wave propagation in composite structures |
title_fullStr |
Data-driven model identification of guided wave propagation in composite structures |
title_full_unstemmed |
Data-driven model identification of guided wave propagation in composite structures |
title_sort |
Data-driven model identification of guided wave propagation in composite structures |
author |
da Silva, Samuel [UNESP] |
author_facet |
da Silva, Samuel [UNESP] |
author_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
da Silva, Samuel [UNESP] |
dc.subject.por.fl_str_mv |
ARX model Composite structures Guided wave propagation Lamb wave System identification |
topic |
ARX model Composite structures Guided wave propagation Lamb wave System identification |
description |
This paper shows the applicability of data-driven model identification to describe guided wave propagation in composite structures. The model identified can be useful to predict waveform or further conditions considering the dynamics of wave propagation in composites media, mainly when the geometry or boundary conditions are complex and make it very difficult to propose an analytical model. Thus, the main purpose of this paper is to use a simple autoregressive with exogenous terms model to fit the experimental data assuming different frequencies of excitation and the effect of temperature changes. An example using a composite plate is performed in this paper to show the steps and applicability. After these analyses, the results obtained demonstrate the practical benefits of the black-box model for modeling of guided wave propagation in complex composite structures for aeronautical applications. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-11-01 2019-10-06T15:22:53Z 2019-10-06T15:22:53Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1007/s40430-018-1462-4 Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 40, n. 11, 2018. 1806-3691 1678-5878 http://hdl.handle.net/11449/187016 10.1007/s40430-018-1462-4 2-s2.0-85055727526 |
url |
http://dx.doi.org/10.1007/s40430-018-1462-4 http://hdl.handle.net/11449/187016 |
identifier_str_mv |
Journal of the Brazilian Society of Mechanical Sciences and Engineering, v. 40, n. 11, 2018. 1806-3691 1678-5878 10.1007/s40430-018-1462-4 2-s2.0-85055727526 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of the Brazilian Society of Mechanical Sciences and Engineering |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1808129575484391424 |