Performance of Rayleigh-based Distributed Optical Fiber Sensors bonded to reinforcing bars in bending

Distributed Optical Fiber Sensors (DOFSs), thanks to their multiple sensing points, are ideal tools for the detection of deformations and cracking in reinforced concrete (RC) structures, crucial as a means to ensure the safety of infrastructures. Yet, beyond a certain point of most DOFS-monitored ex...

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Autores: Bado, Mattia Francesco|||0000-0003-3446-261X, Casas Rius, Joan Ramon|||0000-0003-4473-4308, Barrias, Antonio Jose de Sousa|||0000-0002-2298-7956
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/122107
Acceso en línea:https://hdl.handle.net/2117/122107
https://dx.doi.org/10.3390/s18093125
Access Level:acceso abierto
Palabra clave:Optical fiber detectors
Structural health monitoring
structural health monitoring
damage identification
distributed optical fiber sensors
Rayleigh backscattering
reinforced concrete members
steel reinforcement bars
strain-reading anomalies
spectral shift quality
Detectors de fibra òptica
Construcció en formigó
Control d'estructures (Enginyeria)
Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Materials i estructures de formigó
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repository_id_str
spelling Performance of Rayleigh-based Distributed Optical Fiber Sensors bonded to reinforcing bars in bendingBado, Mattia Francesco|||0000-0003-3446-261XCasas Rius, Joan Ramon|||0000-0003-4473-4308Barrias, Antonio Jose de Sousa|||0000-0002-2298-7956Optical fiber detectorsStructural health monitoringstructural health monitoringdamage identificationdistributed optical fiber sensorsRayleigh backscatteringreinforced concrete memberssteel reinforcement barsstrain-reading anomaliesspectral shift qualityDetectors de fibra òpticaConstrucció en formigóControl d'estructures (Enginyeria)Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Materials i estructures de formigóDistributed Optical Fiber Sensors (DOFSs), thanks to their multiple sensing points, are ideal tools for the detection of deformations and cracking in reinforced concrete (RC) structures, crucial as a means to ensure the safety of infrastructures. Yet, beyond a certain point of most DOFS-monitored experimental tests, researchers have come across unrealistic readings of strain which prevent the extraction of further reliable data. The present paper outlines the results obtained through an experimental test aimed at inducing such anomalies to isolate and identify the physical cause of their origin. The understanding of such a phenomenon would enable DOFS to become a truly performant strain sensing technique. The test consists of gradually bending seven steel reinforcement bars with a bonded DOFS under different conditions such as different load types, bonding adhesives, bar sections and more. The results show the bonding adhesives having an influence on the DOFS performance but not on the rise of anomalies while the reasons triggering the latter are narrowed down from six to two, reaching a strain threshold and a change in structure’s deformative behavior. Further planned research will allow identification of the cause behind the rise of strain-reading anomalies.Peer ReviewedMultidisciplinary Digital Publishing Institute (MDPI)20182018-09-0120182018-10-09journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/122107https://dx.doi.org/10.3390/s18093125reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 3.0 Spainhttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1221072026-05-27T15:37:01Z
dc.title.none.fl_str_mv Performance of Rayleigh-based Distributed Optical Fiber Sensors bonded to reinforcing bars in bending
title Performance of Rayleigh-based Distributed Optical Fiber Sensors bonded to reinforcing bars in bending
spellingShingle Performance of Rayleigh-based Distributed Optical Fiber Sensors bonded to reinforcing bars in bending
Bado, Mattia Francesco|||0000-0003-3446-261X
Optical fiber detectors
Structural health monitoring
structural health monitoring
damage identification
distributed optical fiber sensors
Rayleigh backscattering
reinforced concrete members
steel reinforcement bars
strain-reading anomalies
spectral shift quality
Detectors de fibra òptica
Construcció en formigó
Control d'estructures (Enginyeria)
Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Materials i estructures de formigó
title_short Performance of Rayleigh-based Distributed Optical Fiber Sensors bonded to reinforcing bars in bending
title_full Performance of Rayleigh-based Distributed Optical Fiber Sensors bonded to reinforcing bars in bending
title_fullStr Performance of Rayleigh-based Distributed Optical Fiber Sensors bonded to reinforcing bars in bending
title_full_unstemmed Performance of Rayleigh-based Distributed Optical Fiber Sensors bonded to reinforcing bars in bending
title_sort Performance of Rayleigh-based Distributed Optical Fiber Sensors bonded to reinforcing bars in bending
dc.creator.none.fl_str_mv Bado, Mattia Francesco|||0000-0003-3446-261X
Casas Rius, Joan Ramon|||0000-0003-4473-4308
Barrias, Antonio Jose de Sousa|||0000-0002-2298-7956
author Bado, Mattia Francesco|||0000-0003-3446-261X
author_facet Bado, Mattia Francesco|||0000-0003-3446-261X
Casas Rius, Joan Ramon|||0000-0003-4473-4308
Barrias, Antonio Jose de Sousa|||0000-0002-2298-7956
author_role author
author2 Casas Rius, Joan Ramon|||0000-0003-4473-4308
Barrias, Antonio Jose de Sousa|||0000-0002-2298-7956
author2_role author
author
dc.subject.none.fl_str_mv Optical fiber detectors
Structural health monitoring
structural health monitoring
damage identification
distributed optical fiber sensors
Rayleigh backscattering
reinforced concrete members
steel reinforcement bars
strain-reading anomalies
spectral shift quality
Detectors de fibra òptica
Construcció en formigó
Control d'estructures (Enginyeria)
Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Materials i estructures de formigó
topic Optical fiber detectors
Structural health monitoring
structural health monitoring
damage identification
distributed optical fiber sensors
Rayleigh backscattering
reinforced concrete members
steel reinforcement bars
strain-reading anomalies
spectral shift quality
Detectors de fibra òptica
Construcció en formigó
Control d'estructures (Enginyeria)
Àrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Materials i estructures de formigó
description Distributed Optical Fiber Sensors (DOFSs), thanks to their multiple sensing points, are ideal tools for the detection of deformations and cracking in reinforced concrete (RC) structures, crucial as a means to ensure the safety of infrastructures. Yet, beyond a certain point of most DOFS-monitored experimental tests, researchers have come across unrealistic readings of strain which prevent the extraction of further reliable data. The present paper outlines the results obtained through an experimental test aimed at inducing such anomalies to isolate and identify the physical cause of their origin. The understanding of such a phenomenon would enable DOFS to become a truly performant strain sensing technique. The test consists of gradually bending seven steel reinforcement bars with a bonded DOFS under different conditions such as different load types, bonding adhesives, bar sections and more. The results show the bonding adhesives having an influence on the DOFS performance but not on the rise of anomalies while the reasons triggering the latter are narrowed down from six to two, reaching a strain threshold and a change in structure’s deformative behavior. Further planned research will allow identification of the cause behind the rise of strain-reading anomalies.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-09-01
2018
2018-10-09
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/122107
https://dx.doi.org/10.3390/s18093125
url https://hdl.handle.net/2117/122107
https://dx.doi.org/10.3390/s18093125
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869404297039446016
score 15,300724

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