A non-parametric algorithm for time-dependent modal analysis of civil structures and infrastructures
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/88474 |
Resumo: | Vibration-based monitoring strategies have been demonstrated to be effective tools in providing - in nearly real-time - reliable information regarding the integrity of structures and infrastructure systems. However, commonly used methods for vibration analysis and modal identification are not able to capture the time variation of the modal properties during single acquisitions, hence they cannot perform dynamic identification in the presence of nonlinearities or non-stationary input excitations. To overcome this limitation, a novel non-parametric algorithm for automatic time-dependent modal analysis is hereby presented and discussed. This Enhanced Modal Identification for Long-term Integrity Assessment (EMILIA) algorithm can compute time-dependent estimations of the natural frequencies and mode shapes that can be critical to the early identification of hidden damage. The dynamic characterization of a beam-like structure in sound and damaged conditions is carried out for numerical validation purposes, allowing to evaluate the reliability of the proposed method over different scenarios and comparing its efficiency against traditional algorithms. Finally, further tests are conducted to analyse the sensitivity of the EMILIA algorithm to its main parameters and components. |
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A non-parametric algorithm for time-dependent modal analysis of civil structures and infrastructuresTime-dependent operational modal analysisStructural Health MonitoringSeismic EngineeringNon-Linear Structural DynamicsEngenharia e Tecnologia::Engenharia CivilCidades e comunidades sustentáveisVibration-based monitoring strategies have been demonstrated to be effective tools in providing - in nearly real-time - reliable information regarding the integrity of structures and infrastructure systems. However, commonly used methods for vibration analysis and modal identification are not able to capture the time variation of the modal properties during single acquisitions, hence they cannot perform dynamic identification in the presence of nonlinearities or non-stationary input excitations. To overcome this limitation, a novel non-parametric algorithm for automatic time-dependent modal analysis is hereby presented and discussed. This Enhanced Modal Identification for Long-term Integrity Assessment (EMILIA) algorithm can compute time-dependent estimations of the natural frequencies and mode shapes that can be critical to the early identification of hidden damage. The dynamic characterization of a beam-like structure in sound and damaged conditions is carried out for numerical validation purposes, allowing to evaluate the reliability of the proposed method over different scenarios and comparing its efficiency against traditional algorithms. Finally, further tests are conducted to analyse the sensitivity of the EMILIA algorithm to its main parameters and components.This work was funded by the Chilean National Agency for Research and Development (ANID), through the programme “Doctorado en el Extranjero Becas Chile, Convocatoria 2020” [PhD abroad grants programme, Becas Chile, call 2020], Folio – 72204431 [Sheet number – 72210443]. This work was partly financed by FCT/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), under reference UIDB/04029/2020.ElsevierUniversidade do MinhoHormazábal, Manuel F.Barontini, AlbertoMasciotta, Maria GiovannaOliveira, Daniel V.20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/88474eng0888-32701096-121610.1016/j.ymssp.2023.110802110802https://www.sciencedirect.com/science/article/abs/pii/S0888327023007100info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-10T01:21:11Zoai:repositorium.sdum.uminho.pt:1822/88474Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:37:18.577622Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A non-parametric algorithm for time-dependent modal analysis of civil structures and infrastructures |
title |
A non-parametric algorithm for time-dependent modal analysis of civil structures and infrastructures |
spellingShingle |
A non-parametric algorithm for time-dependent modal analysis of civil structures and infrastructures Hormazábal, Manuel F. Time-dependent operational modal analysis Structural Health Monitoring Seismic Engineering Non-Linear Structural Dynamics Engenharia e Tecnologia::Engenharia Civil Cidades e comunidades sustentáveis |
title_short |
A non-parametric algorithm for time-dependent modal analysis of civil structures and infrastructures |
title_full |
A non-parametric algorithm for time-dependent modal analysis of civil structures and infrastructures |
title_fullStr |
A non-parametric algorithm for time-dependent modal analysis of civil structures and infrastructures |
title_full_unstemmed |
A non-parametric algorithm for time-dependent modal analysis of civil structures and infrastructures |
title_sort |
A non-parametric algorithm for time-dependent modal analysis of civil structures and infrastructures |
author |
Hormazábal, Manuel F. |
author_facet |
Hormazábal, Manuel F. Barontini, Alberto Masciotta, Maria Giovanna Oliveira, Daniel V. |
author_role |
author |
author2 |
Barontini, Alberto Masciotta, Maria Giovanna Oliveira, Daniel V. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Hormazábal, Manuel F. Barontini, Alberto Masciotta, Maria Giovanna Oliveira, Daniel V. |
dc.subject.por.fl_str_mv |
Time-dependent operational modal analysis Structural Health Monitoring Seismic Engineering Non-Linear Structural Dynamics Engenharia e Tecnologia::Engenharia Civil Cidades e comunidades sustentáveis |
topic |
Time-dependent operational modal analysis Structural Health Monitoring Seismic Engineering Non-Linear Structural Dynamics Engenharia e Tecnologia::Engenharia Civil Cidades e comunidades sustentáveis |
description |
Vibration-based monitoring strategies have been demonstrated to be effective tools in providing - in nearly real-time - reliable information regarding the integrity of structures and infrastructure systems. However, commonly used methods for vibration analysis and modal identification are not able to capture the time variation of the modal properties during single acquisitions, hence they cannot perform dynamic identification in the presence of nonlinearities or non-stationary input excitations. To overcome this limitation, a novel non-parametric algorithm for automatic time-dependent modal analysis is hereby presented and discussed. This Enhanced Modal Identification for Long-term Integrity Assessment (EMILIA) algorithm can compute time-dependent estimations of the natural frequencies and mode shapes that can be critical to the early identification of hidden damage. The dynamic characterization of a beam-like structure in sound and damaged conditions is carried out for numerical validation purposes, allowing to evaluate the reliability of the proposed method over different scenarios and comparing its efficiency against traditional algorithms. Finally, further tests are conducted to analyse the sensitivity of the EMILIA algorithm to its main parameters and components. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023 2023-01-01T00:00:00Z |
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 |
https://hdl.handle.net/1822/88474 |
url |
https://hdl.handle.net/1822/88474 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0888-3270 1096-1216 10.1016/j.ymssp.2023.110802 110802 https://www.sciencedirect.com/science/article/abs/pii/S0888327023007100 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137423931736064 |