Bridge damage analysis under joint environmental and operational variability
Descripción del Articulo
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...
| Autores: | , , |
|---|---|
| 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 |
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article |
| dc.identifier.issn.none.fl_str_mv |
15732479 |
| dc.identifier.doi.none.fl_str_mv |
10.1080/15732479.2023.2243248 |
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http://hdl.handle.net/10757/669631 |
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17448980 |
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Structure and Infrastructure Engineering |
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2-s2.0-85166755075 |
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15732479 10.1080/15732479.2023.2243248 17448980 Structure and Infrastructure Engineering 2-s2.0-85166755075 SCOPUS_ID:85166755075 0000 0001 2196 144X |
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http://hdl.handle.net/10757/669631 |
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eng |
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eng |
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Taylor and Francis Ltd. |
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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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 |
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