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dc.contributor.authorBado, Mattia Francesco
dc.contributor.authorCasas Rius, Joan Ramon
dc.contributor.authorBarrias, Antonio Jose de Sousa
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2019-03-12T14:21:38Z
dc.date.available2019-03-12T14:21:38Z
dc.date.issued2018
dc.identifier.citationBado, M. F.; Casas, J.; Barrias, A. Performance of Distributed Optical Fiber Sensors bonded to reinforcement bars in bending. A: Asia-Pacific Workshop on Structural Health Monitoring. "APWSHM 2018: The 7th Asia-Pacific Workshop on Structural Health Monitoring, 2018 Nov 12-15, Hong Kong, China". NDT.net, 2018, p. 123-134.
dc.identifier.urihttp://hdl.handle.net/2117/130253
dc.description.abstractDistributed Optical Fiber Sensors (DOFS) are optimal tools for mapping temperature, strain and vibration inside a structural element in two or even three dimensions. Thanks to their multiple sensing points, wide location range monitoring and customizable spatial resolution, the DOFS allow to paint a clear picture of the global behavior of a structure rather than reporting the tensile state of a limited number of points. This makes it ideal for the detection of deformations and cracking in reinforced concrete (RC) structures, crucial as a mean to ensure the safety of the infrastructure by identifying early signs of excessive damage and giving feedback on the structure’s ability to continue serving its intended purpose[1]. Yet, one of the main points holding back such technique are unexplained rise of anomalies in its readings beyond a certain point of any experimental test. Indeed, during multiple DOFS-monitored structural tests (Rayleigh scattering based), researchers have come across strain reading anomalies in the form of excessively large strain peaks with no physical meaning and veracity. The present paper outlines the results obtained by an experimental test developed in the UPC´s Structure Technology Laboratory with the goal of inducing such anomalies under different conditions in order to isolate and identify the cause of their origin. The test consists in gradually bending seven steel reinforcement bars with a DOFS bonded to their bottom tensile surface. The DOFS performance is then studied for different bonding conditions (different adhesives and their layering for every bar), for constant versus varying rebar sections (some incisions were performed in the rebars) and for different loading speeds (slow, fast and impact). In this paper important conclusions are developed which shed light on such phenomena and lay the grounds for an entirely anomaly-free DOFS-monitored test on RC ties planned as follow-up test.
dc.format.extent12 p.
dc.language.isoeng
dc.publisherNDT.net
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.subjectÀrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors
dc.subject.lcshOptical fiber detectors
dc.subject.lcshStructural health monitoring
dc.subject.otherDistributed Optical Fiber Sensors
dc.subject.otherStructural Health Monitoring
dc.subject.otherBending test
dc.subject.otherStrain Reading Anomalies
dc.subject.otherDisruption Mechanisms
dc.titlePerformance of Distributed Optical Fiber Sensors bonded to reinforcement bars in bending
dc.typeConference report
dc.subject.lemacDetectors de fibra òptica
dc.subject.lemacMonitorització de salut estructural
dc.contributor.groupUniversitat Politècnica de Catalunya. EC - Enginyeria de la Construcció
dc.rights.accessOpen Access
drac.iddocument23537903
dc.description.versionPostprint (published version)
upcommons.citation.authorBado, M. F.; Casas, J.; Barrias, A.
upcommons.citation.contributorAsia-Pacific Workshop on Structural Health Monitoring
upcommons.citation.publishedtrue
upcommons.citation.publicationNameAPWSHM 2018: The 7th Asia-Pacific Workshop on Structural Health Monitoring, 2018 Nov 12-15, Hong Kong, China
upcommons.citation.startingPage123
upcommons.citation.endingPage134


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