广州地区城市道路病害探测图谱与优化方法

The atlas and optimization method of urban road disease detection in Guangzhou area

针对运营中的城市道路在路基病害探测中无法封路的情况,以广州市广花一级公路为工程背景,阐述了城市道路探地雷达(GPR)检测原理,并对检测精度影响因素进行了总结。提出了不影响正常交通条件下城市道路二维、三维探地雷达快速联合检测优化方法,以三维雷达图像进行初判、二维雷达深入检测并进行对比分析,实现道路病害的精确解译。运用此优化方法建立了广州地区城市道路病害的检测图谱,包含健康道路雷达图像,土体不密实/富水区、松散、脱空、空洞和裂隙等5种城市道路病害雷达图像,地下基础设施雷达图像和特殊地质情况雷达图像(主要为溶洞),相关结果有助于城市道路病害的快速有效探测与评估。

Aiming at the situation that urban roads in operation cannot be closed during the subgrade disease detection,taking the Guanghua first-class highway in Guangzhou as the engineering background, this paper illustrates the principle of ground penetrating radar(GPR) detection for urban roads, summarizes the factors affecting detection accuracy, and proposes a rapid disease detection optimization method with two-dimensional and three-dimensional ground penetrating radars without affecting normal traffic conditions. In order to achieve accurate interpretation of subgrade and pavement diseases, the three-dimensional radar image is used for initial judgment and the two-dimensional radar is used for further detection and comparative analysis. By using this optimization method, the detection atlas of urban road diseases in Guangzhou is established, including radar images of healthy road surface and 5 kinds of urban road diseases:uncompacted/water rich area, loose soil, void, cavity and crack. The relevant results of radar images of underground infrastructure and special geological conditions(mainly being karst caves) are conducive to quick and effective detection and evaluation of urban road diseases.