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dc.contributor.authorJun, LEI
dc.contributor.authorLozano Galant, José Antonio
dc.contributor.authorNogal Macho, María
dc.contributor.authorXu, Dong
dc.contributor.authorTurmo Coderque, José
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.identifier.citationJun, L., Lozano-Galant, J.A., Nogal, M., Xu, D., Turmo, J. Analysis of measurement and simulation errors in structural system identification by observability techniques. "Structural control & health monitoring", Juny 2017, vol. 24, núm. 6, p. 1-21.
dc.descriptionThis is the peer reviewed version of the following article: [Lei, J., Lozano-Galant, J. A., Nogal, M., Xu, D., and Turmo, J. (2017) Analysis of measurement and simulation errors in structural system identification by observability techniques. Struct. Control Health Monit., 24: . doi: 10.1002/stc.1923.], which has been published in final form at This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
dc.description.abstractDuring the process of structural system identification, errors are unavoidable. This paper analyzes the effects of measurement and simulation errors in structural system identification based on observability techniques. To illustrate the symbolic approach of this method a simply supported beam is analyzed step-by-step. This analysis provides, for the very first time in the literature, the parametric equations of the estimated parameters. The effects of several factors, such as errors in a particular measurement or in the whole measurement set, load location, measurement location or sign of the errors, on the accuracy of the identification results are also investigated. It is found that error in a particular measurement increases the errors of individual estimations, and this effect can be significantly mitigated by introducing random errors in the whole measurement set. The propagation of simulation errors when using observability techniques is illustrated by two structures with different measurement sets and loading cases. A fluctuation of the observed parameters around the real values is proved to be a characteristic of this method. Also, it is suggested that a sufficient combination of different load cases should be utilized to avoid the inaccurate estimation at the location of low curvature zones.
dc.format.extent21 p.
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Materials i estructures
dc.subject.lcshStructural analysis (Engineering)
dc.subject.otherstructural system identification
dc.subject.otherstiffness method
dc.subject.otherobservability technique
dc.subject.othermeasurement error
dc.subject.othersimulation error
dc.subject.otherobservability flow
dc.titleAnalysis of measurement and simulation errors in structural system identification by observability techniques
dc.subject.lemacEstructures, Teoria de les
dc.contributor.groupUniversitat Politècnica de Catalunya. EC - Enginyeria de la Construcció
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorJun, L.; Lozano-Galant, J.A.; Nogal, M.; Xu, D.; Turmo, J.
upcommons.citation.publicationNameStructural control & health monitoring

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