Bridge damage analysis under joint environmental and operational variability

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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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Detalles Bibliográficos
Autores: Delgadillo, Rick M., Tenelema, Fernando J., Casas, Joan R.
Formato: artículo
Fecha de Publicación:2023
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/669631
Enlace del recurso:http://hdl.handle.net/10757/669631
Nivel de acceso:acceso embargado
Materia:Bridges
damage detection
environmental conditions
Hilbert-Huang transform
instantaneous phase difference
modal frequency
principal component analysis
temperature effect
variational mode decomposition
https://purl.org/pe-repo/ocde/ford#2.01.00
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dc.title.es_PE.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, Rick M.
Bridges
damage detection
environmental conditions
Hilbert-Huang transform
instantaneous phase difference
modal frequency
principal component analysis
temperature effect
variational mode decomposition
https://purl.org/pe-repo/ocde/ford#2.01.00
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
author Delgadillo, Rick M.
author_facet Delgadillo, Rick M.
Tenelema, Fernando J.
Casas, Joan R.
author_role author
author2 Tenelema, Fernando J.
Casas, Joan R.
author2_role author
author
dc.contributor.author.fl_str_mv Delgadillo, Rick M.
Tenelema, Fernando J.
Casas, Joan R.
dc.subject.es_PE.fl_str_mv Bridges
damage detection
environmental conditions
Hilbert-Huang transform
instantaneous phase difference
modal frequency
principal component analysis
temperature effect
variational mode decomposition
topic Bridges
damage detection
environmental conditions
Hilbert-Huang transform
instantaneous phase difference
modal frequency
principal component analysis
temperature effect
variational mode decomposition
https://purl.org/pe-repo/ocde/ford#2.01.00
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.01.00
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 2023
dc.date.accessioned.none.fl_str_mv 2023-12-08T20:24:50Z
dc.date.available.none.fl_str_mv 2023-12-08T20:24:50Z
dc.date.issued.fl_str_mv 2023-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 15732479
dc.identifier.doi.none.fl_str_mv 10.1080/15732479.2023.2243248
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/669631
dc.identifier.eissn.none.fl_str_mv 17448980
dc.identifier.journal.es_PE.fl_str_mv Structure and Infrastructure Engineering
dc.identifier.eid.none.fl_str_mv 2-s2.0-85166755075
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85166755075
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 15732479
10.1080/15732479.2023.2243248
17448980
Structure and Infrastructure Engineering
2-s2.0-85166755075
SCOPUS_ID:85166755075
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url http://hdl.handle.net/10757/669631
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
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dc.publisher.es_PE.fl_str_mv Taylor and Francis Ltd.
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
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institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Structure and Infrastructure Engineering
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/669631/1/license.txt
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spelling 37a2d012d9016cd087e09ef9de655e2a30048f0bc911bb82d2b979a578ab95bd3ce300bd28d3066c8cafd6d2c3151b80844a79300Delgadillo, Rick M.Tenelema, Fernando J.Casas, Joan R.2023-12-08T20:24:50Z2023-12-08T20:24:50Z2023-01-011573247910.1080/15732479.2023.2243248http://hdl.handle.net/10757/66963117448980Structure and Infrastructure Engineering2-s2.0-85166755075SCOPUS_ID:851667550750000 0001 2196 144XOne 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.ODS 9: Industria, Innovación e InfraestructuraODS 11: Ciudades y Comunidades SosteniblesODS 13: Acción por el Climaapplication/htmlengTaylor and Francis Ltd.info:eu-repo/semantics/embargoedAccessBridgesdamage detectionenvironmental conditionsHilbert-Huang transforminstantaneous phase differencemodal frequencyprincipal component analysistemperature effectvariational mode decompositionhttps://purl.org/pe-repo/ocde/ford#2.01.00Bridge damage analysis under joint environmental and operational variabilityinfo:eu-repo/semantics/articleStructure and Infrastructure Engineeringreponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/669631/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/669631oai:repositorioacademico.upc.edu.pe:10757/6696312025-10-30 07:42:29.578Repositorio Académico UPCupc@openrepository.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