路面结构病害三维探地雷达图谱特征研究

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Three-dimensional ground penetrating radar images features of pavement structuredefects MENGuangyu1，2³， CHEN Weibin2³，，XU Tengfei²³，ZHANGWeiguang1*，SHE Xuhui1 （1.School of Transportation， SoutheastUniversity，Nanjing21l189，China;

2. Ningxia Communications Construction Company Limited， Yinchuan 75ooo1， China;

3.Research Institute of Transportation Technology of Ningxia Communications Construction， Yinchuan 750004， China）

Abstract：To address the challenge of interpreting map information from three-dimensional ground-penetrating radar（3D GPR） used for detecting structural defects in asphalt pavements，this study conducted field data collection onthe Suiyue Expressway in Hubei using three-dimensional GPR.Combining this data with convolutional neural network （CNN） asisted manual map analysis，suspected defect locations were identified. Core samples were taken from these suspected locations to verify the accuracy of defect identification and reflection crack size calculation.The study further summarized the map features of three common types of structural defects.Theresults indicate that diferent structural defects exhibit significantlydifferent forms in3D GPR maps.The method of inferring reflection crack sizes based on three-dimensional maps is reliable.These researchconclusions provide areference foruniversal application on automatic interpretation technology of threedimensional GPR echo maps.

Keywords：structural defects;thre-dimensional ground penetrating radar; map interpretation; machine learning; images features

0引言

在高速公路沥青路面中，结构病害通常指存在于道路结构内部的病害，如裂缝、脱空等。（剩余12346字）