沥青混合料隐性病害动态共面电容成像优化  

Dynamic Coplanar Capacitance Imaging Optimization of Hidden Damages in Asphalt Mixtures

作　　者：史斌 董侨[1] 陈雪琴 胡兴 姚康 颜世傲 SHI Bin;DONG Qiao;CHEN Xue-qin;HU Xing;YAO Kang;YAN Shi-ao(School of Transportation,Southeast University,Nanjing 211189,Jiangsu,China;School of Science,Nanjing University of Science and Technology,Nanjing 210094,Jiangsu,China)

机构地区：[1]东南大学交通学院,江苏南京211189 [2]南京理工大学理学院,江苏南京210094

出　　处：《中国公路学报》2024年第12期269-283,共15页China Journal of Highway and Transport

基　　金：国家自然科学基金项目(52478448,52208439);西藏自治区2024年科技重大专项(XZ202402ZD0008);西藏自治区2024年重点研发计划项目(XZ202401ZY0082);江苏省研究生科研与实践创新计划项目(KYCX24_0464)。

摘　　要：共面阵列电容成像技术通过检测电容变化来获取被测物体介电常数分布,为沥青路面隐性病害的检测和识别提供了一种可靠的无损检测手段。提出了一种敏感场优化策略,用于获取成像精度高、接近真实、分布均匀的敏感场,以精确重构沥青混合料隐性病害分布。首先,利用小波变换对多层敏感场进行融合,得到融合敏感场;其次,根据测得的动态共面电容分布,采用阈值优化方法提取不同扫描步的特征敏感场,进而得到真实敏感场;最后,基于非局部均值滤波对真实敏感场尖锐区域进行平滑处理,获得均匀敏感场。分别基于融合敏感场、特征敏感场和均匀敏感场对沥青混合料的隐性病害进行成像。通过小波变换获取具有清晰轮廓的融合敏感场分布;根据电容贡献度提取的特征敏感场,能够获得反映病害分布状况的真实敏感场;通过非均值滤波获取局部分布均匀的均匀敏感场。结果表明:融合敏感场重构图像显著提高了病害边缘稳定性;特征敏感场重构图像中病害周围伪影基本消除;均匀敏感场重构图像中病害内部分布更均匀。采用不同敏感场优化方法的成像质量提升程度从高到低依次为:特征敏感场>均匀敏感场>融合敏感场。Coplanar array capacitance imaging technology acquires the permittivity distribution of tested objects by detecting variations in capacitance,providing a reliable,non-destructive method for detecting and identifying hidden damages in asphalt pavements.In this paper,a set of sensitivity field optimization strategies are proposed for obtaining a high imaging accuracy,approximate real,and uniform-sensitivity field distribution.This optimized sensitivity field is used for reconstructing the distribution images of hidden damages in asphalt mixtures.Firstly,the multi-layer sensitivity fields are fused using the wavelet transform to obtain the fused sensitivity field.Secondly,according to the measured dynamic coplanar capacitance distributions,the threshold optimization method is used to extract the feature sensitivity fields of different scanning steps,and then the real sensitive fields are obtained.Finally,based on non-local mean filtering,the sharp areas of the real sensitivity fields are smoothed to obtain homogenized sensitive fields.The hidden damages in asphalt mixtures is imaged based on the fusion,feature,and homogenized sensitivity fields.The fused sensitivity field distribution with clear contours is obtained by wavelet transform;the real sensitivity field,which can reflect the distribution of hidden damages is obtained based on the feature sensitivity field extracted by capacitance contribution;and the homogenized sensitivity field with uniform local distribution is obtained based on non-homogeneous mean filtering.The results show that the stability of the edges of the damages in the reconstructed images based on the fused sensitivity field is significantly improved;the artifacts around the damages in the reconstructed images based on the feature sensitivity field are basically eliminated;and the internal distribution of damages in the reconstructed images based on the homogenized sensitivity field is more uniform.From high to low,the degree of imaging quality improvement based on different sensitive field o

关 键 词：路面工程 敏感场 动态共面阵列电容成像 沥青混合料隐性病害 移动式共面阵列电容传感器 动态检测 

分 类 号：U416.214[交通运输工程—道路与铁道工程]