Bridge damage analysis under joint environmental and operational variability

One of the main challenges for bridge damage identification using monitoring data is to acquire sensitive damage features but insensitive to operational and environmental effects as well as noise. Specifically, the temperature as part of environmental variability can mask structural damages in bridg...

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Autores: Delgadillo Ayala, Rick Milton, Tenelema Muñoz, Fernando Josué, Casas Rius, Joan Ramon|||0000-0003-4473-4308
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/406963
Acceso en línea:https://hdl.handle.net/2117/406963
https://dx.doi.org/10.1080/15732479.2023.2243248
Access Level:acceso abierto
Palabra clave:Bridges
Damage detection
Environmental conditions
Hilbert-Huang transform
Instantaneous phase difference
Modal frequency
Principal component analysis
Temperature effect
Variational mode decomposition
Ponts
Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Tipologies estructurals
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spelling Bridge damage analysis under joint environmental and operational variabilityDelgadillo Ayala, Rick MiltonTenelema Muñoz, Fernando JosuéCasas Rius, Joan Ramon|||0000-0003-4473-4308BridgesBridgesDamage detectionEnvironmental conditionsHilbert-Huang transformInstantaneous phase differenceModal frequencyPrincipal component analysisTemperature effectVariational mode decompositionPontsÀrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Tipologies estructuralsOne of the main challenges for bridge damage identification using monitoring data is to acquire sensitive damage features but insensitive to operational and environmental effects as well as noise. Specifically, the temperature as part of environmental variability can mask structural damages in bridges. Principal Component Analysis (PCA) has been applied here as a well-known and robust technique for removing environmental variability and obtain damage-sensitive indices. As a first aim, PCA is used considering only ambient vibrations and the natural frequencies are considered as damage indicators. As a second objective, PCA in conjunction with Hilbert Huang Transform (HHT) and Variational Mode Decomposition (VMD) are applied to eliminate the environmental influence in transient vibrations due to traffic. The combined methodology is applied to the case of a numerical benchmark by using the Instantaneous Phase Difference (IPD) as novel vibration damage feature in the case of non-stationary vibrations. The results show that the proposed strategy to use the non-stationary vibration due to traffic instead of ambient vibration seems a promising tool for damage identification and, therefore, its capabilities in real bridge applications are worth exploring further when experimental data from real bridges will become available.The authors thank Prof. Eleni Chatzi, ETH Zurich, for giving us the data as well as documentation from the numerical bridge utilized in the case study. To the Dirección de Investigación de la Universidad Peruana de Ciencias Aplicadas for the support provided for the realization of this research work through the UPC-EXPOST-2023-1 incentive.Peer ReviewedTaylor & Francis Group20252025-05-0120242024-04-23journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/406963https://dx.doi.org/10.1080/15732479.2023.2243248reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4069632026-05-27T15:37:01Z
dc.title.none.fl_str_mv Bridge damage analysis under joint environmental and operational variability
title Bridge damage analysis under joint environmental and operational variability
spellingShingle Bridge damage analysis under joint environmental and operational variability
Delgadillo Ayala, Rick Milton
Bridges
Bridges
Damage detection
Environmental conditions
Hilbert-Huang transform
Instantaneous phase difference
Modal frequency
Principal component analysis
Temperature effect
Variational mode decomposition
Ponts
Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Tipologies estructurals
title_short Bridge damage analysis under joint environmental and operational variability
title_full Bridge damage analysis under joint environmental and operational variability
title_fullStr Bridge damage analysis under joint environmental and operational variability
title_full_unstemmed Bridge damage analysis under joint environmental and operational variability
title_sort Bridge damage analysis under joint environmental and operational variability
dc.creator.none.fl_str_mv Delgadillo Ayala, Rick Milton
Tenelema Muñoz, Fernando Josué
Casas Rius, Joan Ramon|||0000-0003-4473-4308
author Delgadillo Ayala, Rick Milton
author_facet Delgadillo Ayala, Rick Milton
Tenelema Muñoz, Fernando Josué
Casas Rius, Joan Ramon|||0000-0003-4473-4308
author_role author
author2 Tenelema Muñoz, Fernando Josué
Casas Rius, Joan Ramon|||0000-0003-4473-4308
author2_role author
author
dc.subject.none.fl_str_mv Bridges
Bridges
Damage detection
Environmental conditions
Hilbert-Huang transform
Instantaneous phase difference
Modal frequency
Principal component analysis
Temperature effect
Variational mode decomposition
Ponts
Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Tipologies estructurals
topic Bridges
Bridges
Damage detection
Environmental conditions
Hilbert-Huang transform
Instantaneous phase difference
Modal frequency
Principal component analysis
Temperature effect
Variational mode decomposition
Ponts
Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Tipologies estructurals
description One of the main challenges for bridge damage identification using monitoring data is to acquire sensitive damage features but insensitive to operational and environmental effects as well as noise. Specifically, the temperature as part of environmental variability can mask structural damages in bridges. Principal Component Analysis (PCA) has been applied here as a well-known and robust technique for removing environmental variability and obtain damage-sensitive indices. As a first aim, PCA is used considering only ambient vibrations and the natural frequencies are considered as damage indicators. As a second objective, PCA in conjunction with Hilbert Huang Transform (HHT) and Variational Mode Decomposition (VMD) are applied to eliminate the environmental influence in transient vibrations due to traffic. The combined methodology is applied to the case of a numerical benchmark by using the Instantaneous Phase Difference (IPD) as novel vibration damage feature in the case of non-stationary vibrations. The results show that the proposed strategy to use the non-stationary vibration due to traffic instead of ambient vibration seems a promising tool for damage identification and, therefore, its capabilities in real bridge applications are worth exploring further when experimental data from real bridges will become available.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-04-23
2025
2025-05-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/406963
https://dx.doi.org/10.1080/15732479.2023.2243248
url https://hdl.handle.net/2117/406963
https://dx.doi.org/10.1080/15732479.2023.2243248
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis Group
publisher.none.fl_str_mv Taylor & Francis Group
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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