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Non-modal vibration-based methods for bridge damage identification
dc.contributor.author | Delgadillo Ayala, Rick Milton |
dc.contributor.author | Casas Rius, Joan Ramon |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Civil |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.date.accessioned | 2020-03-20T16:09:21Z |
dc.date.available | 2020-08-21T00:30:27Z |
dc.date.issued | 2020-03 |
dc.identifier.citation | Delgadillo, R.; Casas, J. Non-modal vibration-based methods for bridge damage identification. "Structure and infrastructure engineering: maintenance, management, life-cycle design and performance", Març 2020, vol. 16, núm. 4, p. 676-697. |
dc.identifier.issn | 1744-8980 |
dc.identifier.uri | http://hdl.handle.net/2117/180779 |
dc.description | This is an Accepted Manuscript of an article published by Taylor & Francis Group in Structure and Infrastructure Engineering on 2019, available online at: http://www.tandfonline.com/10.1080/15732479.2019.1650080 |
dc.description.abstract | Many methods of damage identification in bridge structures have focused on the use of numerical models, modal parameters or non-destructive damage tests as a means of condition assessment. These techniques can often be very effective but can also suffer from specific pitfalls such as, numerical model calibration issues for non-linear and inelastic behaviour, modal parameter sensitivity to environmental and operational conditions and bridge usage restrictions for non-destructive testing. This paper covers alternative approaches to damage identification of bridge structures using empirical parameters applied to measured vibration response data obtained from two field experiments of progressively damaged bridges subjected to ambient and vehicle-induced excitation, respectively. Numerous non-modal vibration-based damage features are detailed and selected for the assessment of either the ambient or vehicle-induced excitation data based on their inherent properties. The results of the application to two real bridges, one under ambient vibration and the other of forced vibration, demonstrate the robustness of the proposed damage features for damage identification using measurements of ambient and vehicle excitations. Moreover, this investigation has demonstrated that the novel empirical vibration parameters assessed are suitable for damage detection, localisation and quantification. |
dc.format.extent | 22 p. |
dc.language.iso | eng |
dc.publisher | Taylor & Francis |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Tipologies estructurals |
dc.subject.lcsh | Bridges--Vibration |
dc.subject.other | Structural health monitoring |
dc.subject.other | Bridges |
dc.subject.other | Damage identification |
dc.subject.other | Vibration Parameters |
dc.subject.other | Hilbert–Huang Transform |
dc.subject.other | Ambient excitation |
dc.subject.other | Forced vibration |
dc.title | Non-modal vibration-based methods for bridge damage identification |
dc.type | Article |
dc.subject.lemac | Ponts -- Vibració |
dc.contributor.group | Universitat Politècnica de Catalunya. EC - Enginyeria de la Construcció |
dc.identifier.doi | 10.1080/15732479.2019.1650080 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.tandfonline.com/doi/abs/10.1080/15732479.2019.1650080 |
dc.rights.access | Open Access |
local.identifier.drac | 25820085 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Delgadillo, R.; Casas, J. |
local.citation.publicationName | Structure and infrastructure engineering: maintenance, management, life-cycle design and performance |
local.citation.volume | 16 |
local.citation.number | 4 |
local.citation.startingPage | 676 |
local.citation.endingPage | 697 |
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