A spectrum-driven damage Identification technique: application and validation through the numerical simulation of the Z24 Bridge

Detalhes bibliográficos
Autor(a) principal: Masciotta, M. G.
Data de Publicação: 2016
Outros Autores: Ramos, Luís F., Lourenço, Paulo B., Vasta, M., De Roeck, G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/38360
Resumo: The present paper focuses on a damage identification method based on the use of the second order spectral properties of the nodal response processes. The explicit dependence on the frequency content of the outputs power spectral densities makes them suitable for damage detection and localization. The well-known case study of the Z24 Bridge in Switzerland is chosen to apply and further investigate this technique with the aim of validating its reliability. Numerical simulations of the dynamic response of the structure subjected to different types of excitation are carried out to assess the variability of the spectrum-driven method with respect to both type and position of the excitation sources. The simulated data obtained from random vibrations, impulse, ramp and shaking forces, allowed to build the power spectrum matrix from which the main eigenparameters of reference and damage scenarios are extracted. Afterwards, complex eigenvectors and real eigenvalues are properly weighed and combined and a damage index based on the difference between spectral modes is computed to pinpoint the damage. Finally, a group of vibration-based damage identification methods are selected from the literature to compare the results obtained and to evaluate the performance of the spectral index.
id RCAP_b38d0797e0dfc924455ceaf5af7353e8
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/38360
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str
spelling A spectrum-driven damage Identification technique: application and validation through the numerical simulation of the Z24 BridgeDamage identificationSpectrum-driven methodDamage localization indexPower spectral densitiesConcrete bridgesEngenharia e Tecnologia::Engenharia CivilScience & TechnologyThe present paper focuses on a damage identification method based on the use of the second order spectral properties of the nodal response processes. The explicit dependence on the frequency content of the outputs power spectral densities makes them suitable for damage detection and localization. The well-known case study of the Z24 Bridge in Switzerland is chosen to apply and further investigate this technique with the aim of validating its reliability. Numerical simulations of the dynamic response of the structure subjected to different types of excitation are carried out to assess the variability of the spectrum-driven method with respect to both type and position of the excitation sources. The simulated data obtained from random vibrations, impulse, ramp and shaking forces, allowed to build the power spectrum matrix from which the main eigenparameters of reference and damage scenarios are extracted. Afterwards, complex eigenvectors and real eigenvalues are properly weighed and combined and a damage index based on the difference between spectral modes is computed to pinpoint the damage. Finally, a group of vibration-based damage identification methods are selected from the literature to compare the results obtained and to evaluate the performance of the spectral index.The authors would like to express their sincere gratitude to Prof. Dr. Guido De Roeck for sharing his information about the Z24 Bridge. The first author would also like to acknowledge the Italian Ministry of Education, Universities and Research (MIUR) for the Ph.D. scholarship provided.ElsevierUniversidade do MinhoMasciotta, M. G.Ramos, Luís F.Lourenço, Paulo B.Vasta, M.De Roeck, G.20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/38360engMasdotta, M.-G., Ramos, L. F., Lourenco, P. B., Vasta, M., & De Roeck, G. (2016). A spectrum-driven damage identification technique: Application and validation through the numerical simulation of the Z24 Bridge. Mechanical Systems and Signal Processing, 70-71, 578-600. doi: 10.1016/j.ymssp.2015.08.0270888-327010.1016/j.ymssp.2015.08.027info: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:RCAAP2023-07-21T12:00:23ZPortal AgregadorONG
dc.title.none.fl_str_mv A spectrum-driven damage Identification technique: application and validation through the numerical simulation of the Z24 Bridge
title A spectrum-driven damage Identification technique: application and validation through the numerical simulation of the Z24 Bridge
spellingShingle A spectrum-driven damage Identification technique: application and validation through the numerical simulation of the Z24 Bridge
Masciotta, M. G.
Damage identification
Spectrum-driven method
Damage localization index
Power spectral densities
Concrete bridges
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
title_short A spectrum-driven damage Identification technique: application and validation through the numerical simulation of the Z24 Bridge
title_full A spectrum-driven damage Identification technique: application and validation through the numerical simulation of the Z24 Bridge
title_fullStr A spectrum-driven damage Identification technique: application and validation through the numerical simulation of the Z24 Bridge
title_full_unstemmed A spectrum-driven damage Identification technique: application and validation through the numerical simulation of the Z24 Bridge
title_sort A spectrum-driven damage Identification technique: application and validation through the numerical simulation of the Z24 Bridge
author Masciotta, M. G.
author_facet Masciotta, M. G.
Ramos, Luís F.
Lourenço, Paulo B.
Vasta, M.
De Roeck, G.
author_role author
author2 Ramos, Luís F.
Lourenço, Paulo B.
Vasta, M.
De Roeck, G.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Masciotta, M. G.
Ramos, Luís F.
Lourenço, Paulo B.
Vasta, M.
De Roeck, G.
dc.subject.por.fl_str_mv Damage identification
Spectrum-driven method
Damage localization index
Power spectral densities
Concrete bridges
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
topic Damage identification
Spectrum-driven method
Damage localization index
Power spectral densities
Concrete bridges
Engenharia e Tecnologia::Engenharia Civil
Science & Technology
description The present paper focuses on a damage identification method based on the use of the second order spectral properties of the nodal response processes. The explicit dependence on the frequency content of the outputs power spectral densities makes them suitable for damage detection and localization. The well-known case study of the Z24 Bridge in Switzerland is chosen to apply and further investigate this technique with the aim of validating its reliability. Numerical simulations of the dynamic response of the structure subjected to different types of excitation are carried out to assess the variability of the spectrum-driven method with respect to both type and position of the excitation sources. The simulated data obtained from random vibrations, impulse, ramp and shaking forces, allowed to build the power spectrum matrix from which the main eigenparameters of reference and damage scenarios are extracted. Afterwards, complex eigenvectors and real eigenvalues are properly weighed and combined and a damage index based on the difference between spectral modes is computed to pinpoint the damage. Finally, a group of vibration-based damage identification methods are selected from the literature to compare the results obtained and to evaluate the performance of the spectral index.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
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 http://hdl.handle.net/1822/38360
url http://hdl.handle.net/1822/38360
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Masdotta, M.-G., Ramos, L. F., Lourenco, P. B., Vasta, M., & De Roeck, G. (2016). A spectrum-driven damage identification technique: Application and validation through the numerical simulation of the Z24 Bridge. Mechanical Systems and Signal Processing, 70-71, 578-600. doi: 10.1016/j.ymssp.2015.08.027
0888-3270
10.1016/j.ymssp.2015.08.027
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
repository.mail.fl_str_mv
_version_ 1777303661265813504