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dc.contributor.authorPeng, Tian
dc.contributor.authorNogal Macho, María
dc.contributor.authorCasas Rius, Joan Ramon
dc.contributor.authorTurmo Coderque, José
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria de la Construcció
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2021-04-26T13:08:09Z
dc.date.available2021-04-26T13:08:09Z
dc.date.issued2021-05
dc.identifier.citationPeng, T. [et al.]. Role of sensors in error propagation with the dynamic constrained observability method. "Sensors", Maig 2021, vol. 21, núm. 9, p. 2918:1-2918:21.
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/2117/344405
dc.description.abstractThe inverse problem of structural system identification is prone to ill-conditioning issues; thus, uniqueness and stability cannot be guaranteed. This issue tends to amplify the error propagation of both the epistemic and aleatory uncertainties, where aleatory uncertainty is related to the accuracy and the quality of sensors. The analysis of uncertainty quantification (UQ) is necessary to assess the effect of uncertainties on the estimated parameters. A literature review is conducted in this paper to check the state of existing approaches for efficient UQ in the parameter identification field. It is identified that the proposed dynamic constrained observability method (COM) can make up for some of the shortcomings of existing methods. After that, the COM is used to analyze a real bridge. The result is compared with the existing method, demonstrating its applicability and correct performance by a reinforced concrete beam. In addition, during the bridge system identification by COM, it is found that the best measurement set in terms of the range will depend on whether the epistemic uncertainty involved or not. It is concluded that, because the epistemic uncertainty will be removed as the knowledge of the structure increases, the optimum sensor placement should be achieved considering not only the accuracy of sensors, but also the unknown structural part.
dc.description.sponsorshipThis research work was conducted with financial support from the Chinese Scholarship Council and the Spanish Ministry of Economy and Competitiveness and FEDER funds (BIA2017-86811-C2-1-R). Authors are also indebted to the Secretaria d’ Universitats i Recerca de la Generalitat de Catalunya for the funding provided through Agaur (2017 SGR 1481).
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.rightsAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Materials i estructures
dc.subject.lcshStructural health monitoring
dc.subject.lcshOptical fiber detectors
dc.subject.otherSystem identification
dc.subject.otherUncertainty quantification
dc.subject.otherObservability
dc.subject.otherFrequencies
dc.subject.otherMode Shapes
dc.subject.otherEpistemic uncertainty
dc.subject.otherAleatory uncertainty
dc.subject.otherSensors
dc.titleRole of sensors in error propagation with the dynamic constrained observability method
dc.typeArticle
dc.subject.lemacMonitorització de salut estructural
dc.subject.lemacDetectors de fibra òptica
dc.contributor.groupUniversitat Politècnica de Catalunya. EC - Enginyeria de la Construcció
dc.identifier.doi10.3390/s21092918
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/21/9/2918/htm
dc.rights.accessOpen Access
local.identifier.drac31217590
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/BIA2017-86811-C2-1-R
local.citation.authorPeng, T.; Nogal, M.; Casas, J.; Turmo, J.
local.citation.publicationNameSensors
local.citation.volume21
local.citation.number9
local.citation.startingPage2918:1
local.citation.endingPage2918:21


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Attribution 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution 3.0 Spain