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Sensors  2014 

The Performance Analysis of Distributed Brillouin Corrosion Sensors for Steel Reinforced Concrete Structures

DOI: 10.3390/s140100431

Keywords: corrosion monitoring, reinforced concrete structures, low-coherent fiber-optic strain sensor, BOTDA

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Abstract:

The Brillouin optical time-domain analysis (BOTDA)-based optical fiber method has been proposed to measure strain variations caused by corrosion expansion. Spatial resolutions of 1 m can be achieved with this kind of Brillouin sensor for detecting the distributed strain. However, when the sensing fiber is wound around the steel rebar in a number of circles in a range of several meters, this spatial resolution still has limitations for corrosion monitoring. Here, we employed a low-coherent fiber-optic strain sensor (LCFS) to survey the performance of Brillouin sensors based on the fact that the deformation measured by the LCFS equals the integral of the strains obtained from Brillouin sensors. An electrochemical accelerated corrosion experiment was carried out and the corrosion expansion was monitored by both BOTDA and the LCFS. Results demonstrated that the BOTDA can only measure the expansion strain of about 1,000 με, which was generated by the 18 mm steel rebar corrosion, but, the LCFS had high sensitivity from the beginning of corrosion to the destruction of the structure, and no obvious difference in expansion speed was observed during the acceleration stage of the corrosion developed in the reinforced concrete (RC) specimens. These results proved that the BOTDA method could only be employed to monitor the corrosion inside the structure in the early stage.

References

[1]  Apostolopoulos, C.A.; Demis, S.; Papadakis, V.G. Chloride-induced corrosion of steel reinforcement—Mechanical performance and pit depth analysis. Constr. Build. Mater. 2013, 38, 139–146.
[2]  Poursaee, A.; Hansson, C.M. Potential pitfalls in assessing chloride-induced corrosion of steel in concrete. Cem. Concr. Res. 2009, 5, 391–400.
[3]  Duffó, G.S.; Farina, S.B. Development of an embeddable sensor to monitor the corrosion process of new and existing reinforced concrete structures. Constr. Build. Mater. 2009, 8, 2746–2751.
[4]  Lu, S.; Ba, H.J. Corrosion sensor for monitoring the service condition of chloride-contaminated cement mortar. Sensors 2010, 10, 4145–4158.
[5]  Dong, S.; Lin, C.; Hu, R.; Li, L.; Du, R. Effective monitoring of corrosion in reinforcing steel in concrete constructions by a multifunctional sensor. Electrochim. Acta 2011, 4, 1881–1888.
[6]  Kawasaki, Y.; Tomoda, Y.; Ohtsu, M. AE monitoring of corrosion process in cyclic wet-dry test. Constr. Build. Mater. 2010, 12, 2353–2357.
[7]  Nascimento, J.F.; Silva, M.J.; Coêlho, I.J.S.; Ciptiano, E.; Martins-Filho, J.F. Amplified OTDR systems for multipoint corrosion monitoring. Sensors 2012, 12, 3438–3448.
[8]  Zhao, X.F.; Gong, P.; Qiao, G.F.; Lu, J.; Lv, X.J.; Ou, J.P. Brillouin corrosion expansion sensors for steel reinforced concrete structures using a fiber optic coil winding method. Sensors 2011, 11, 10798–10819.
[9]  Zhao, X.F.; Cui, Y.J.; Wei, H.M.; Kong, X.L.; Zhang, P.L.; Sun, C.S. Research on corrosion detection for steel reinforced concrete structures using the fiber optical white light interferometer sensing technique. Smart Mater. Struct. 2013, doi:10.1088/0964-1726/22/6/065014.
[10]  Zhao, Y.; Ansari, F. Quasi-distributed fiber-optic strain sensor: Principle and experiment. Appl. Opt. 2001, 40, 3176–3181.
[11]  Wei, H.M.; Zhang, P.L.; Cui, Y.J.; Zhao, X.F.; Sun, C.S. The monitoring and evaluation of corrosion-induced expansion in the reinforced concrete structures: The applications of fiber optic low coherent strain sensors. J. Basic Sci. Eng 2013. in press.
[12]  Sandoz, P. Wavelet transform as a processing tool in white-light interferometry. Opt. Lett. 1997, 14, 1065–1067.
[13]  Harasaki, A.; Schmit, J.; Wyant, J.C. Improved vertical-scanning interferometry. Appl. Opt. 2000, 39, 2107–2115.
[14]  Bao, X.Y.; Chen, L. Recent process in Brillouin scattering based fiber sensors. Sensors 2011, 11, 4152–4187.
[15]  Horiguchi, T.; Shimizu, K.; Kurashima, T. Development of a distributed sensing technique using Brillouin scattering. J. Light. Technol. 1995, 13, 1296–1302.
[16]  Lanticq, V.; Quiertant, M.; Merliot, E.; Delepine-Lesoille, S. Brillouin sensing cable: Design and experimental validation. IEEE Sens. J. 2008, 7, 1194–1201.
[17]  Bernini, R.; Minardo, A.; Zeni, L. Accuracy enhancement in Brillouin distributed fiber-optic temperature sensors using signal processing techniques. IEEE Photonics Technol. Lett. 2004, 4, 1143–1145.
[18]  Ravet, F.; Bao, X.; Li, Y.; Yu, Q.; Yale, A.; Kalosha, V.P.; Chen, L. Signal Processing technique for distributed Brillouin sensing at centimeter spatial resolution. J. Light. Technol. 2007, 11, 3610–3618.
[19]  Zhang, D.; Shi, B.; Cui, H.L.; Xu, H.Z. Improvement of spatial resolution of Brillouin optical time domain reflectmeter using spectral decomposition. Opt. Appl. 2004, 34, 291–301.
[20]  Ding, Y.; Shi, B.; Zhang, D. Data processing in BOTDR distributed strain measurement based on pattern recognition. Optik—Int. J. Light Electron. Opt. 2010, 24, 2234–2239.
[21]  Zadok, A.; Antman, Y.; Primerov, N.; Denisov, A.; Sancho, J.; Thevenaz, L. Random-access distributed fiber sensing. Laser Photonics Rev. 2012, 6, L1–L5.
[22]  Dong, Y.K.; Zhang, H.Y.; Chen, L.; Bao, X.Y. 2 cm spatial-resolution and 2 km range Brillouin optical fiber sensor using a transient differential pulse pair. Appl. Opt. 2012, 51, 1229–1235.

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