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Thickness Evaluation and Rebar Recognition of Railway Tunnel Lining Based on GPR

  • Jin Ma
  • Weixiang Xu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 378)

Abstract

In this paper, using ground penetrating radar (GPR), we propose a novel method to evaluate the thickness of second lining and the number of rebar for tunnel detection. Based on the propagation characteristics of electromagnetic wave, we propose a method to evaluate the thickness of second lining by using the Fresnel reflection coefficient and attenuation coefficient. We propose a symmetric algorithm to recognize and determine the number of rebar which is recognized according to the characteristics of hyperbolic echo signal from the rebar. In addition, under the condition of symmetry-based algorithm, the Hough transform algorithm is applied to fit hyperbola of rebar. Then, the aforementioned methods are applied to the actual GPR images and obtain better results.

Keywords

GPR Fresnel coefficient Attenuation coefficient Hyperbola Symmetric-based algorithm Hough transform 

Notes

Acknowledgment

This work was supported in part by the China Academy of Railway Sciences Support Program under Grant No. 2008G017-A and the National Natural Science Foundation of China under Grant No. 61272029.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.School of Traffic and TransportationBeijing Jiaotong UniversityBeijingChina

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