A spectrum-driven damage Identification technique: application and validation through the numerical simulation of the Z24 Bridge
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , |
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. |
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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 |
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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 |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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