Journal of South China University of Technology (Natural Science Edition) ›› 2018, Vol. 46 ›› Issue (11): 132-141.doi: 10.3969/j.issn.1000-565X.2018.11.018

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Asphalt Thin-layer Thickness Detection Method Based on WRELAX Algorithm for Time-Delay Estimation

 SONG Bo1,2 ZHANG Jinxi1 XUE Zhongjun2 YE Shengbo3 ZHANG Tao2   

  1. 1． College of Metropolitan Transportation，Beijing University of Technology，Beijing 100124，China;
    2． Beijing Board Engineering Quality Supervision Station，Beijing 100076，China;
    3． Institute of Electronics，Chinese Academy of Sciences，Beijing 100190，China
  • Received:2018-04-03 Revised:2018-05-28 Online:2018-11-25 Published:2018-10-02
  • Contact: 张金喜( 1965) ，男，教授，博士生导师，主要从事路面结构与材料研究． E-mail:zhangjinxi@bjut.edu.cn
  • About author:宋波( 1982) ，男，博士生，高级工程师，主要从事路面性能检测与监测技术研究
  • Supported by:
    The National Natural Science Foundation of China( 51478021)
    The Science and Technology Planning Project of Beijing( Z161100004516014)
    The Key Project of Natural Science Foundation of Beijing( KZ201510005002) 

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Abstract: Concerning the overlap of ground penetrating radar (GPR) signal reflections at the different asphalt layers, which reduces the measurement accuracy of asphalt surface thickness, the WRELAX algorithm for time-delay estimation was applied to analyze the air-launched GPR signal reflections with 1GHz center frequency to improve the detection accuracy of thin layers of asphalt pavement in this paper. The results were verified by simulation experiment and field test. The research results show that the WRELAX algorithm detects iteratively strong reflections and then subtracted from the original signal to reveal the weak reflections. Time-delay and amplitude can be calculated by the WRELAX algorithm. The WRELAX algorithm in 1GHz GPR signal processing can effectively detect thin layers of asphalt pavement, and variation ranges of estimation errors are relatively small. The algorithm is robust and its effect is better than 2GHz GPR signal processing. The maximum relative estimation error of thin layer estimated by the WRELAX algorithm is less than 5%, which meets the requirements for detection and evaluation of asphalt thin layers.

Key words: ground penetrating radar, asphalt pavement, WＲELAX time-delay estimation algorithm, thin-layer thickness

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