Thickness Evaluation and Rebar Recognition of Railway Tunnel Lining Based on GPR
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.
KeywordsGPR Fresnel coefficient Attenuation coefficient Hyperbola Symmetric-based algorithm Hough transform
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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