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A state of the art review of modal-based damage detection in bridges: development, challenges, and solutions
dc.contributor.author | Moughty, John James |
dc.contributor.author | Casas Rius, Joan Ramon |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.date.accessioned | 2017-06-01T15:42:39Z |
dc.date.available | 2017-06-01T15:42:39Z |
dc.date.issued | 2017-05 |
dc.identifier.citation | Moughty, J., Casas, J. A state of the art review of modal-based damage detection in bridges: development, challenges, and solutions. "Applied sciences", Maig 2017, vol. 7, núm. 5, p. 1-24. |
dc.identifier.issn | 2076-3417 |
dc.identifier.uri | http://hdl.handle.net/2117/105103 |
dc.description.abstract | Traditionally, damage identification techniques in bridges have focused on monitoring changes to modal-based Damage Sensitive Features (DSFs) due to their direct relationship with structural stiffness and their spatial information content. However, their progression to real-world applications has not been without its challenges and shortcomings, mainly stemming from: (1) environmental and operational variations; (2) inefficient utilization of machine learning algorithms for damage detection; and (3) a general over-reliance on modal-based DSFs alone. The present paper provides an in-depth review of the development of modal-based DSFs and a synopsis of the challenges they face. The paper then sets out to addresses the highlighted challenges in terms of published advancements and alternatives from recent literature. |
dc.format.extent | 24 p. |
dc.language.iso | eng |
dc.publisher | Multidisciplinary Digital Publishing Institute |
dc.rights | Attribution 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Tipologies estructurals |
dc.subject.lcsh | Structural health monitoring |
dc.subject.other | structural health monitoring |
dc.subject.other | damage detection |
dc.subject.other | modal analysis |
dc.subject.other | machine learning |
dc.subject.other | non-stationary analysis |
dc.subject.other | signal processing |
dc.title | A state of the art review of modal-based damage detection in bridges: development, challenges, and solutions |
dc.type | Article |
dc.subject.lemac | Monitorització de salut estructural |
dc.contributor.group | Universitat Politècnica de Catalunya. EC - Enginyeria de la Construcció |
dc.identifier.doi | 10.3390/app7050510 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.mdpi.com/2076-3417/7/5/510 |
dc.rights.access | Open Access |
local.identifier.drac | 21071498 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/642453/EU/Training in Reducing Uncertainty in Structural Safety/TRUSS |
local.citation.author | Moughty, J.; Casas, J. |
local.citation.publicationName | Applied sciences |
local.citation.volume | 7 |
local.citation.number | 5 |
local.citation.startingPage | 1 |
local.citation.endingPage | 24 |
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