Advances in Civil Engineering (Jan 2023)

Forward Modeling and Model Test of Ground-Penetrating Radar toward Typical Asphalt Pavement Distresses

  • Zhijun Liu,
  • Tao Sun,
  • Tao Huang,
  • Guoqiang Liu,
  • Yunhan Tao,
  • Gaoxin Wang,
  • Liangliang Wang

DOI
https://doi.org/10.1155/2023/2227326
Journal volume & issue
Vol. 2023

Abstract

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As the total mileage of roads with asphalt concrete pavement is increasing rapidly, using ground-penetrating radar (GPR) to estimate the dimension of internal distresses of the asphalt pavement is of great significance for pavement maintenance. However, the relationship between the dimension of road distress and the characteristics of road distress’s radar echo has not been quantified. Therefore, in this paper, a GPR forward modeling toward base cracks and interlayer voids is conducted to investigate the relationship, and a model test is conducted to verify the forward modeling. The results indicate that it is feasible to use a GPR image to estimate the dimension of interlayer voids and base cracks. For vertical dimension estimation, the vertical dimension of the distressed area has a positive relationship with the difference in the return time of radar echoes from the top and bottom of the distressed area. However, the area’s vertical dimension must be at least a quarter of the length of the electromagnetic wave used in the GPR to be correctly identified. Otherwise, it is not easy to distinguish the overlapping echoes from each other. For horizontal dimension estimation, the base crack’s horizontal dimension has a quadratic correlation with the echo’s amplitude, and the horizontal dimension of an interlayer void is approximately equal to the length of its echo’s flat segment.