The Analysis of Angle Resolution of Stress Vector Sensor Based on Optical Fiber Sensing Cable for High Speed Railway Traffic

doi:10.1007/s12204-018-1910-4

Abstract

Abstract: 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 words: optical fiber sensing cable| rail| angle resolution| stress| finite element analysis

摘要： 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.

关键词: optical fiber sensing cable| rail| angle resolution| stress| finite element analysis

CLC Number:

TN 29

DENG Shungea (邓顺戈), MA Xina (马鑫), LI Xinwana,b,c* (李新碗). The Analysis of Angle Resolution of Stress Vector Sensor Based on Optical Fiber Sensing Cable for High Speed Railway Traffic[J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(1): 61-65.

References

[1] HOU J F, PEI L, LI Z X, et al. Research progressand application of optical fiber sensing technology [J].Electro-Optic Technology Application, 2012, 27(1): 49-53 (in Chinese). [2] PAN J J. Research on applying optical fiber gratingin track monitoring [D]. Wuhan: Wuhan University ofTechnology, 2009 (in Chinese). [3] TAM H Y. World’s first city-wide fiber Bragg gratingsensing network for railway monitoring [C]//OpticalFibre Technology, 2014 OptoElectronics and CommunicationConference and Australian Conference onMelbourne. IEEE, 2014: 1056-1057. [4] ZHANG X P, GAO C, WANG F, et al. Stress transferperformance of strain sensing cable [J]. Optics and PrecisionEngineering, 2011, 19(12): 2891-2899 (in Chinese). [5] ZHANG W, WU R R, TAN W. Icing load monitoringof OPGW based on strain analysis [J]. Southern PowerSystem Technology, 2016, 10(11): 52-58 (in Chinese). [6] GUNDAY A, KARLIK S E. Optical fiber distributedsensing of temperature, thermal strain and thermomechanicalforce formations on OPGW cables underwind effects [C]//International Conference on Electricaland Electronics Engineering. Bursa: IEEE, 2013:462-467. [7] LANTICQ V, BOURGEOIS E, MAGNIEN P, et al.Soil-embedded optical fiber sensing cable interrogatedby Brillouin optical time-domain reflectometry (BOTDR)and optical frequency-domain reflectometry(OFDR) for embedded cavity detection and sinkholewarning system [J]. Measurement Science and Technology,2009, 20(3): 034018. [8] THODI P, PAULIN M, FORSTER L, et al. Arcticpipeline leak detection using fiber optic cable distributedsensing systems [C]//OTC Arctic TechnologyConference. Houston: Offshore Technology Conference,2014: 1-16. [9] NONG H, LIN J. Study on rail load measurement baseon finite element analysis [C]//2009 9th InternationalConference on Electronic Measurement & Instruments.Beijing: IEEE, 2009: 1708-1713. [10] YANG J, LIU Z H, PEI Y P, et al. Theoretical andexperimental study on double-coated fiber optic strainsensor [J]. Acta Photonica Sinica, 2006, 35(6): 842-845(in Chinese). [11] OZ Optics. Fiber optic distributed strain andtemperature sensors (DSTS) BOTDA+BOTDRcombo module [EB/OL]. (2017-05-02). [2018.01.19].http://www.ozoptics.com/ALLNEW PDF/DTS0139.pdf.

[1]	ZHAO Hong, XIE Youjun, LONG Guangcheng, LI Ning, ZHANG Jiawei, CHENG Zhiqing. Mechanical Characteristics and Stress and Strain Analysis of Concrete with Bonding Interface Under Impact Load [J]. Journal of Shanghai Jiao Tong University, 2022, 56(9): 1208-1217.
[2]	XIAO Kehua, LUO Jiahao, RAO Yu. Experiment on Wedge-Shaped Latticework Channel Cooling Applied in Aero Engine Gas Turbine Blade Trailing Edge [J]. Journal of Shanghai Jiao Tong University, 2022, 56(8): 1034-1042.
[3]	LI Yuanfeng (李元丰), WANG Yiling (王怡灵), ZHANG Wanxin∗ (张万欣), LIU Jinian (刘冀念), MA Jialu (马加炉). Sealing Performance of Pressure-Adaptive Seal [J]. J Shanghai Jiaotong Univ Sci, 2022, 27(6): 747-756.
[4]	DUAN Hongyan, TANG Guoxin, SHENG Jie, CAO Mengjie, PEI Lei, TIAN Hongwei. A Novel Prediction Model for Fatigue Strength [J]. Journal of Shanghai Jiao Tong University, 2022, 56(6): 801-808.
[5]	ZHUANG Qianqian (庄倩倩), ZHUANG Siyue (庄似玥), GONG Yanling (龚艳玲), LI Shengtian∗ (李胜天). Chronic β-Citronellol Inhalation Rescues Parvalbumin Expression Loss in Prefrontal Cortex of Chronic Restraint Stress Mice [J]. J Shanghai Jiaotong Univ Sci, 2022, 27(4): 512-520.
[6]	HUANG Chengjun, ZHU Tianyi, SONG Xiaobing. In-Plane Yield Criterion of Steel-Concrete-Steel Unit Panel [J]. Journal of Shanghai Jiao Tong University, 2022, 56(4): 422-430.
[7]	JIA Mizhi, XU Liming, LIN Nan, NAN Bohua, WANG Kun, CAI Deng’an, ZHOU Guangming. Structural Design and Mechanical Properties of Fissile Cover with Rebound and Reset Functions [J]. Air & Space Defense, 2022, 5(2): 8-16.
[8]	DAI Mengyi, ZHANG Zhihao, TU Jiahuang, HAN Zhaolong, ZHOU Dai, ZHU Hongbo. Aerodynamic Effect of Deflection Angle of Trailing Edge Flap on Vertical Axis Wind Turbine with Different Airfoils [J]. Journal of Shanghai Jiao Tong University, 2022, 56(12): 1619-1629.
[9]	WU Tao, MO Shixu, XIANG Yongbin, ZOU Zequn, ZHENG Yan. Explicit Buckling Analysis of Rotationally Restrained Plates on Rigid Base Under Various Loading Conditions [J]. Journal of Shanghai Jiao Tong University, 2022, 56(1): 114-126.
[10]	LIU Hao , ZHANGNing , WANG Huoping , ZHU Liyun , ZHANG Yu . A Method for Improving the Motion Performance of Steel Catenary Riser by Adding Inertia Bodies to the Sagbend Section #br# [J]. Ocean Engineering Equipment and Technology, 2022, 9(1): 37-45.
[11]	XU Changjie, ZENG Yiting, TIAN Wei, CHEN Ming. Analytical Analysis of Influence of Dewatering on Adjacent Pipelines Based on Pasternak Foundation [J]. Journal of Shanghai Jiao Tong University, 2021, 55(6): 652-662.
[12]	CHEN Peishuai, PAN Yazhou, LIANG Fayun, LI Dejie. Consolidation Characteristics and Bearing Behavior of Sand Pile Composite Foundation in Caisson Heightening [J]. Journal of Shanghai Jiao Tong University, 2021, 55(6): 707-715.
[13]	WANG Ning, DING Haibin, TONG Lihong, JIANG Yalong. Dynamic Responses of Saturated Soil Foundation Subjected to Plane Wave Based on Nonlocal-Biot Theory [J]. Journal of Shanghai Jiao Tong University, 2021, 55(6): 663-671.
[14]	SHEN Qiyue (沈琦越), WANG Bing (王冰), WANG Chunxiang∗ (王春香). Real-Time Trajectory Planning for On-road Autonomous Tractor-Trailer Vehicles [J]. J Shanghai Jiaotong Univ Sci, 2021, 26(5): 722-730.
[15]	PAN Shang, LIU Jinhao, ZHANG Qi, YE Guanlin. Development of K₀ Coefficient Measurement and Stress Path Test Function of Triaxial Apparatus [J]. Journal of Shanghai Jiao Tong University, 2021, 55(4): 372-379.