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Continuous deformation measurement for track based on distributed optical fiber sensor

  • He, Jianping (School of Civil Engineering, Dalian University of Technology) ;
  • Li, Peigang (School of Civil Engineering, Dalian University of Technology) ;
  • Zhang, Shihai (School of Civil Engineering, Nanyang Institute of Technology)
  • Received : 2019.06.07
  • Accepted : 2019.08.15
  • Published : 2020.03.25

Abstract

Railway tracks are the direct supporting structures of the trains, which are vulnerable to produce large deformation under the temperature stress or subgrade settlement. The health status of track is critical, and the track should be routinely monitored to improve safety, lower the risk of excess deformation and provide reliable maintenance strategy. In this paper, the distributed optical fiber sensor was proposed to monitor the continuous deformation of the track. In order to validate the feasibility of the monitoring method, two deformation monitoring tests on one steel rail model in laboratory and on one real railway tack in outdoor were conducted respectively. In the model test, the working conditions of simply supported beam and continuous beam in the rail model under several concentrated loads were set to simulate different stress conditions of the real rail, respectively. In order to evaluate the monitoring accuracy, one distributed optical fiber sensor and one fiber Bragg grating (FBG) sensor were installed on the lower surface of the rail model, the strain measured by FBG sensor and the strain calculated from FEA were taken as measurement references. The model test results show that the strain measured by distributed optical fiber sensor has a good agreement with those measured by FBG sensor and FEA. In the outdoor test, the real track suffered from displacement and temperature loads. The distributed optical fiber sensor installed on the rail can monitor the corresponding strain and temperature with a good accuracy.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China

The research described in this paper was financially supported by the National Key Research and Development Program of China (2016YFC0701107), the National Natural Science Foundation of China (No. 61875027and No.61675102). The authors are grateful for Dalian Boruixin Co.,LtD. who has provided the Brillouin and FBG sensing equipments for the tests.

References

  1. Antipov, A.G. and Markov, A.A. (2018), "3D simulation and experiment on high speed rail MFL inspection", Ndt&E Int, 96, 177-185. https://doi.org/10.1016/j.ndteint.2018.04.011.
  2. Culverhouse, D. and Farahi, F. (1989), "Potential of stimulated Brillouin scattering as sensing mechanism for distributed temperature sensors", Electron. Lett., 25, 913-915. https://doi.org/10.1049/el:19890612.
  3. Francisco, G., Jorge, P.G. and Pedro, L. (2011), "Integrating geomorphological mapping, trenching, InSAR and GPR for the identification and characterization of sinkholes: a review and application in the mantled evaporate karst of the Ebro Valley", Geomorphology, 132, 144-156. https://doi.org/10.1016/j.geomorph.2011.01.018.
  4. Horiguchi, T. Kurashima, T. and Tateda, M. (1990), "A technique to measure distributed strain in optical fibers", IEEE Photonic Tech. L., 23, 52-354. https://doi.org/10.1109/68.54703.
  5. Jiang X.Z., Lei, M.T. and Chen, Y. (2006), "An experiment study of monitoring sinkhole collapse by using BOTDR fiber optical sensing technique", Hydrogeol. & Eng. Geol. (Chinese), 33(6), 172-176. https://doi.org/10.3969/j.issn.1000-3665.2006.06.019.
  6. Jiang X.Z., Lei, M.T. and Dai, J.L. (2011), "A study of the monitoring deformation of sinkhole collapse using TDR time domain reflectometry", Hydrogeol. & Eng. Geol. (Chinese), 38(1), 118-121. https://doi.org/10.3969/j.issn.1000-3665.2011.01.022.
  7. Li, W.L., Pang, J. and Lu, X.S. (2014), "Rail expansion devices monitored by FBG sensors on an urban railway viaduct", Photonic Sens., 4(2),173-179. https://doi.org/10.1007/s13320-014-0163-6.
  8. Li, Z., Dollevoet, R., Molodova, M. and Zhao, X. (2011), "Squat growth-some observations and the validation of numerical predictions", Wear, 271, 148-157. https://doi.org/10.1016/j.wear.2010.10.051.
  9. Wang, P., Xie, K. and Chen, R. (2016), "Test verification and application of a longitudinal temperature force testing method for long seamless rails using FBG strain sensor", J. Sensors, 4, 1-11. https://doi.org/10.1155/2016/3917604.
  10. Xu, J. and He, J.P. (2016), "Collapse prediction of karst sinkhole via distributed Brillouin fiber optical sensor", Meas., 100 ,68-71. https://doi.org/10.1016/j.measurement.2016.12.046
  11. Xu, L. and Zhai, W.M. (2017), "A novel model for determining the amplitude-wavelength limits of track irregularities accompanied by a reliability assessment in railway vehicle-track dynamics", Mech. Syst. Signal Pr., 86, 260-277. https://doi.org/10.1016/j.ymssp.2016.10.010.
  12. Yang, C.S., Zhang, Q. and Zhao, C.Y. (2010), "Monitoring mine collapse by D-InSAR", M.S.Tech (Chinese), 20, 696-700. https://doi.org/10.1016/S1674-5264(09)60265-9.