Dong Zehua, Ye Shengbo, Gao Yunze, Fang Guangyou, Zhang Xiaojuan, Xue Zhongjun, Zhang Tao
Institute of Electronics, Chinese Academy of Science, Beijing 100190, China.
University of Chinese Academy of Science, Beijing 100149, China.
Sensors (Basel). 2016 Dec 6;16(12):2067. doi: 10.3390/s16122067.
The thickness estimation of the top surface layer and surface layer, as well as the detection of road defects, are of great importance to the quality conditions of asphalt pavement. Although ground penetrating radar (GPR) methods have been widely used in non-destructive detection of pavements, the thickness estimation of the thin top surface layer is still a difficult problem due to the limitations of GPR resolution and the similar permittivity of asphalt sub-layers. Besides, the detection of some road defects, including inadequate compaction and delamination at interfaces, require further practical study. In this paper, a newly-developed vehicle-mounted GPR detection system is introduced. We used a horizontal high-pass filter and a modified layer localization method to extract the underground layers. Besides, according to lab experiments and simulation analysis, we proposed theoretical methods for detecting the degree of compaction and delamination at the interface, respectively. Moreover, a field test was carried out and the estimated results showed a satisfactory accuracy of the system and methods.
沥青路面顶层和表面层的厚度估计以及路面缺陷检测,对于沥青路面的质量状况至关重要。尽管探地雷达(GPR)方法已广泛应用于路面无损检测,但由于GPR分辨率的限制以及沥青子层介电常数相近,薄顶层的厚度估计仍是一个难题。此外,一些路面缺陷的检测,包括压实不足和界面分层,还需要进一步的实际研究。本文介绍了一种新开发的车载GPR检测系统。我们使用水平高通滤波器和改进的层定位方法来提取地下层。此外,根据实验室实验和模拟分析,我们分别提出了检测压实度和界面分层程度的理论方法。此外,还进行了现场测试,估计结果表明该系统和方法具有令人满意的精度。