A non-parametric algorithm for time-dependent modal analysis of civil structures and infrastructures

Detalhes bibliográficos
Autor(a) principal: Hormazábal, Manuel F.
Data de Publicação: 2023
Outros Autores: Barontini, Alberto, Masciotta, Maria Giovanna, Oliveira, Daniel V.
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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spelling 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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection 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
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