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...

Descripción completa

Detalles Bibliográficos
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
Descripción
Sumario: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.