Search

Method for Locating the Void Position between Asphalt Pavement Surface Layer and Base Layer Based on Radar Detection

Author(s)

Zhaojie Zhang1, Hao Ma2, Huan Zhang1,*, Fei Yang1, Zhaodi Yuan1, Junrui Huang1, Qirun Sun1

Affiliation(s)

1Shandong Transportation Institute, Jinan, Shandong, China 2Qingdao Transportation Development Group Co., Ltd, Qingdao, Shandong, China *Corresponding Author.

Abstract

When faced with uneven settlement, consolidation, temperature and humidity changes, load and material factors, semi-rigid base asphalt pavement often experiences discontinuous contact between structural layers. The most commonly used non-destructive testing method for finding voids is the ground penetrating radar method, but the electromagnetic waves reflected by the voids between the asphalt pavement surface layer and the base layer are often masked by the interface reflection between the surface layer and the base layer, and it is difficult to accurately locate the size and position of the voids. In order to effectively detect and locate the void problem between the asphalt pavement surface layer and the base layer, this paper reduces the interference of interface reflection through horizontal filtering, and then uses an improved backward projection imaging algorithm for data processing to accurately identify the position and size of the void. The results indicate that this positioning method can accurately locate the location of road voids, which helps to timely repair and protect road structures, reduce maintenance costs, and ensure traffic safety and sustainable development of roads. This study provides important technical support for improving the accuracy of asphalt pavement detection, extending the service life of roads, and reducing traffic congestion.

Keywords

Asphalt Pavement; Radar; Road Surface Diseases; Get Empty

References

[1] Guo Shili, CAI Jianchao, Zhang Xueqiang, et al. Research on Bridges Hidden Diseases Detection Method by GPR. Progress in geophysics, 2012, 27 (4) :1812 – 1821. [2] Huang Qi, Yan Guang-hui. Experiment of Ground Penetrating Radar Signal Flaw Recognition. Journal of Highway and Transportation Research and Development, 2011, 28(10): 40 - 43, 69. [3] Jiang Hong, Wang Xuancang. Signal Analysis and Processing for Detecting Void Phenomenon under Concrete Pavement by Using Ground Penetrating Rada. Journal of Highway and Transportation Research and Development, 2010, 27(1): 22 – 27. [4] Huang Cheng, Wang Zheng, Yu Xianjiang Application of Ground Penetrating Radar in Highway Disease Detection Engineering Technology Research, 2017, (2): 26-27. [5] Jia Hui, Chen Changyan, Bai Chaoxu, et al. Analysis of Common Interference Sources in Ground Penetrating Radar Image Features for Urban Road Disease Detection Engineering Survey, 2012, 40(11): 86-92 [6] Su Chang, Wang Chengyi, Xu Shouyi, et al. Recognition Method for Ground Penetrating Radar Pipeline Target Images Journal of Dalian University of Technology, 1997, (5): 595-599. [7] Zaki A, Kabir S, Bakar B H A, et al. Application of Image Processing for Detection of Corrosion Using Ground Penetrating Radar. [8] Cui Y.A, Wang L, Xiao J.P. Automatic Feature Recognition for GPR Image Processing. World Academy of Science, Engineering and Technology, 2010, 61: 176-179. [9] Conroy J, Radzevicius S. Compact MATLAB Code for Displaying 3D GPR data with Translucence. Computers & geosciences, 2003, (5): 679-681.