Asphalt Thin-Layer Thickness Detection Based on WRELAX Time-Delay Estimation Algorithm

被引：0
|
作者：
Song B. [1 ,2 ]
Zhang J. [1 ]
Xue Z. [2 ]
Ye S. [3 ]
Zhang T. [2 ]
机构：
[1] College of Metropolitan Transportation, Beijing University of Technology, Beijing
[2] Beijing Board Engineering Quality Supervision Station, Beijing
[3] Institute of Electronics, Chinese Academy of Sciences, Beijing
来源：
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2018年 / 46卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Asphalt pavement; Ground penetrating radar; Thin-layer thickness; WRELAX time-delay estimation algorithm;
D O I：
10.3969/j.issn.1000-565X.2018.11.018
中图分类号：
学科分类号：
摘要：
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 adopted to analyze the air-launched GPR signal reflections with 1GHz center frequency for the purpose of improving the detection accuracy of thin-layer thickness of asphalt pavement, and simulation and field test were carried out to verify the effectiveness of the proposed method. The results show that (1) WRELAX time-delay estimation algorithm detects iteratively strong reflections and then subtract them from the original signal to reveal the weak reflections, thus protruding the time-delay and the amplitude; (2) WRELAX algorithm in 1GHz GPR signal processing can effectively detect thin-layer thickness of asphalt pavement, with relatively small variation ranges of estimation error; (3) WRELAX algorithm in 1GHz GPR signal processing is robust and is more effective than that in 2GHz GPR signal processing; and (4) the maximum relative estimation error of thin-layer thickness estimated by WRELAX algorithm is less than 5%, which meets the requirements for detection and evaluation of thin-layer thickness of asphalt pavement. © 2018, Editorial Department, Journal of South China University of Technology. All right reserved.
引用
收藏
页码：132 / 141
页数：9
相关论文
共 17 条
  • [1] Al-Qadi I.L., Lahouar S., Measuring layer thicknesses with GPR-theory to practice, Construction and Building Materials, 19, pp. 763-772, (2005)
  • [2] Liu H., Sato M., In situ measurement of pavement thickness and dielectric permittivity by GPR using an antenna array, NDT& E International, 64, pp. 65-71, (2014)
  • [3] Leng Z., Al-Qadi I.L., An innovative method for measuring pavement dielectric constant using the extended CMP method with two air-coupled GPR systems, NDT& E International, 66, pp. 90-98, (2014)
  • [4] Diamanti N., Redman D., Field observations and numerical models of GPR response from vertical pavement cracks, Journal of Applied Geophysics, 81, pp. 106-116, (2012)
  • [5] Krysinski L., Sudyka J., GPR abilities in investigation of the pavement transversal cracks, Journal of Applied Geophysics, 97, pp. 27-36, (2013)
  • [6] Solla M., Laguela S., Gonzalez-Jorge H., Et al., Approach to identify cracking in asphalt pavement using GPR and infrared thermographic methods: preliminary findings, NDT& E International, 62, pp. 55-65, (2014)
  • [7] Plati C., Loizos A., Estimation of in-situ density and moisture content in HMA pavements based on GPR trace reflection amplitude using different frequencies, Journal of Applied Geophysics, 97, pp. 3-10, (2013)
  • [8] Pedret-Rodes J., Perez-Gracia V., Martinez-Reguero A., Evaluation of the GPR frequency spectra in asphalt pavement assessment, Construction and Building Materials, 96, pp. 181-188, (2015)
  • [9] Khamzin A.K., Varnavina A.V., Torgashov E.V., Et al., Utilization of air-launched ground penetrating radar(GPR) for pavement condition assessment, Construction and Building Materials, 141, pp. 130-139, (2017)
  • [10] Hu J., Vennapusa P.K.R., White D.J., Et al., Pavement thickness and stabilised foundation layer assessment using ground-coupled GPR, Nondestructive Testing and Evaluation, 31, 3, pp. 267-287, (2016)
12