Distributed Optical Fiber Sensing Bonding Techniques Performance for Embedment inside Reinforced Concrete Structures

Distributed optical fiber sensors (DOFS) are modern-day cutting-edge monitoring tools that are quickly acquiring relevance in structural health monitoring engineering. Their most ambitious use is embedded inside plain or reinforced concrete (RC) structures with the scope of comprehending their inner...

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Main Authors: Mattia Francesco Bado, Joan R. Casas, Alinda Dey, Carlos Gil Berrocal
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/20/5788
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author Mattia Francesco Bado
Joan R. Casas
Alinda Dey
Carlos Gil Berrocal
author_facet Mattia Francesco Bado
Joan R. Casas
Alinda Dey
Carlos Gil Berrocal
author_sort Mattia Francesco Bado
collection DOAJ
description Distributed optical fiber sensors (DOFS) are modern-day cutting-edge monitoring tools that are quickly acquiring relevance in structural health monitoring engineering. Their most ambitious use is embedded inside plain or reinforced concrete (RC) structures with the scope of comprehending their inner-workings and the functioning of the concrete-reinforcement interaction. Yet, multiple studies have shown that the bonding technique with which the DOFS are bonded to the reinforcement bars has a significant role on the quality of the extracted strain data. Whilst this influence has been studied for externally bonded DOFS, it has not been done for embedded ones. The present article is set on performing such study by monitoring the strain measurement quality as sampled by DOFS bonded to multiple rebars with different techniques and adhesives. These instrumented rebars are used to produce differently sized RC ties later tested in tension. The discussion of the test outputs highlights the quasi-optimal performance of a DOFS/rebar bonding technique consisting of incising a groove in the rebar, positioning the DOFS inside it, bonding it with cyanoacrylate and later adding a protective layer of silicone. The resulting data is mostly noise-free and anomalies-free, yet still presents a newly diagnosed hitch that needs addressing in future research.
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spelling doaj.art-b99ff67e70774f73a6bd5b4ce17fe7662023-11-20T16:52:36ZengMDPI AGSensors1424-82202020-10-012020578810.3390/s20205788Distributed Optical Fiber Sensing Bonding Techniques Performance for Embedment inside Reinforced Concrete StructuresMattia Francesco Bado0Joan R. Casas1Alinda Dey2Carlos Gil Berrocal3Department of Civil and Environmental Engineering, Technical University of Catalonia (UPC), c/Jordi Girona 1-3, 08034 Barcelona, SpainDepartment of Civil and Environmental Engineering, Technical University of Catalonia (UPC), c/Jordi Girona 1-3, 08034 Barcelona, SpainDepartment of Reinforced Concrete Structures and Geotechnical Engineering (Vilnius Gediminas Technical University), Saulėtekio al. 11, 10221 Vilnius, LithuaniaDepartment of Architecture and Civil Engineering, Division of Structural Engineering (Chalmers University of Technology), Sven Hultins gata 6, 41258 Göteborg, SwedenDistributed optical fiber sensors (DOFS) are modern-day cutting-edge monitoring tools that are quickly acquiring relevance in structural health monitoring engineering. Their most ambitious use is embedded inside plain or reinforced concrete (RC) structures with the scope of comprehending their inner-workings and the functioning of the concrete-reinforcement interaction. Yet, multiple studies have shown that the bonding technique with which the DOFS are bonded to the reinforcement bars has a significant role on the quality of the extracted strain data. Whilst this influence has been studied for externally bonded DOFS, it has not been done for embedded ones. The present article is set on performing such study by monitoring the strain measurement quality as sampled by DOFS bonded to multiple rebars with different techniques and adhesives. These instrumented rebars are used to produce differently sized RC ties later tested in tension. The discussion of the test outputs highlights the quasi-optimal performance of a DOFS/rebar bonding technique consisting of incising a groove in the rebar, positioning the DOFS inside it, bonding it with cyanoacrylate and later adding a protective layer of silicone. The resulting data is mostly noise-free and anomalies-free, yet still presents a newly diagnosed hitch that needs addressing in future research.https://www.mdpi.com/1424-8220/20/20/5788distributed sensingoptical fibersreinforced concretesteel strainsstructural health monitoring
spellingShingle Mattia Francesco Bado
Joan R. Casas
Alinda Dey
Carlos Gil Berrocal
Distributed Optical Fiber Sensing Bonding Techniques Performance for Embedment inside Reinforced Concrete Structures
Sensors
distributed sensing
optical fibers
reinforced concrete
steel strains
structural health monitoring
title Distributed Optical Fiber Sensing Bonding Techniques Performance for Embedment inside Reinforced Concrete Structures
title_full Distributed Optical Fiber Sensing Bonding Techniques Performance for Embedment inside Reinforced Concrete Structures
title_fullStr Distributed Optical Fiber Sensing Bonding Techniques Performance for Embedment inside Reinforced Concrete Structures
title_full_unstemmed Distributed Optical Fiber Sensing Bonding Techniques Performance for Embedment inside Reinforced Concrete Structures
title_short Distributed Optical Fiber Sensing Bonding Techniques Performance for Embedment inside Reinforced Concrete Structures
title_sort distributed optical fiber sensing bonding techniques performance for embedment inside reinforced concrete structures
topic distributed sensing
optical fibers
reinforced concrete
steel strains
structural health monitoring
url https://www.mdpi.com/1424-8220/20/20/5788
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AT joanrcasas distributedopticalfibersensingbondingtechniquesperformanceforembedmentinsidereinforcedconcretestructures
AT alindadey distributedopticalfibersensingbondingtechniquesperformanceforembedmentinsidereinforcedconcretestructures
AT carlosgilberrocal distributedopticalfibersensingbondingtechniquesperformanceforembedmentinsidereinforcedconcretestructures