The Analysis of Angle Resolution of Stress Vector Sensor Based on Optical Fiber Sensing Cable for High Speed Railway Traffic
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With the development of high speed railway traffic, the structure health monitoring for high-speed rail is necessary due to the safety issue. Optical fiber sensing technology is one of the options to solve it. Stress vector information is the important index to make more reasonable judgments about railway safety. However, information sensed by lots of commercial optical sensors is scalar. According to the stress filed distribution of rail, this paper proposes a new type of stress vector sensor based on optical fiber sensing cable (OFSC) with a symmetrical seven optical fibers structure and analyzes the relations between angle resolution and distance between adjacent of optical fibers through finite-element software (ANSYS) simulation. Through reasonable distance configuration, the angle resolution of the OFSC can be improved, and thus stress vector information, including the stress magnitude and the angle of stress, can be more accurately obtained. The simulation results are helpful to configure OFSC for angle resolution improvement in actual practice, and increase the safety factor in high speed railway structure health monitoring.
Key wordsoptical fiber sensing cable rail angle resolution stress finite element analysis
CLC numberTN 29
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- HOU J F, PEI L, LI Z X, et al. Research progress and application of optical fiber sensing technology [J]. Electro-Optic Technology Application, 2012, 27(1): 49–53 (in Chinese).Google Scholar
- PAN J J. Research on applying optical fiber grating in track monitoring [D]. Wuhan: Wuhan University of Technology, 2009 (in Chinese).Google Scholar
- TAM H Y. World’s first city-wide fiber Bragg grating sensing network for railway monitoring [C]//Optical Fibre Technology, 2014 OptoElectronics and Communication Conference and Australian Conference on Melbourne. IEEE, 2014: 1056–1057.Google Scholar
- ZHANG W, WU R R, TAN W. Icing load monitoring of OPGW based on strain analysis [J]. Southern Power System Technology, 2016, 10(11): 52–58 (in Chinese).Google Scholar
- GUNDAY A, KARLIK S E. Optical fiber distributed sensing of temperature, thermal strain and thermomechanical force formations on OPGW cables under wind effects [C]//International Conference on Electrical and Electronics Engineering. Bursa: IEEE, 2013: 462–467.Google Scholar
- LANTICQ V, BOURGEOIS E, MAGNIEN P, et al. Soil-embedded optical fiber sensing cable interrogated by Brillouin optical time-domain reflectometry (BOTDR) and optical frequency-domain reflectometry (OFDR) for embedded cavity detection and sinkhole warning system [J]. Measurement Science and Technology, 2009, 20(3): 034018.CrossRefGoogle Scholar
- THODI P, PAULIN M, FORSTER L, et al. Arctic pipeline leak detection using fiber optic cable distributed sensing systems [C]//OTC Arctic Technology Conference. Houston: Offshore Technology Conference, 2014: 1–16.Google Scholar
- NONG H, LIN J. Study on rail load measurement base on finite element analysis [C]//2009 9th International Conference on Electronic Measurement & Instruments. Beijing: IEEE, 2009: 1708–1713.Google Scholar
- YANG J, LIU Z H, PEI Y P, et al. Theoretical and experimental study on double-coated fiber optic strain sensor [J]. Acta Photonica Sinica, 2006, 35(6): 842–845 (in Chinese).Google Scholar
- OZ Optics. Fiber optic distributed strain and temperature sensors (DSTS) BOTDA+BOTDR combo module [EB/OL]. (2017-05-02). [2018.01.19]. http://www.ozoptics.com/ALLNEW PDF/DTS0139.pdf.Google Scholar