基于扩展共同中心点法的路面病害雷达测量

发布时间：2018-01-16 06:01

本文关键词：基于扩展共同中心点法的路面病害雷达测量　出处：《公路交通科技》2017年08期 　论文类型：期刊论文

【摘要】：为进一步提高利用探地雷达技术测量路面厚度及病害的精度与效率,保证测量结果可直接用于改扩建路面的设计,将扩展共同中心点法(the extended common midpoint,XCMP)引入了基于探地雷达的改扩建路面厚度及病害测量。利用XCMP,探地雷达可测定现有路面厚度和病害位置且无需借助钻心取样校准介电常数;同时,采用了一种多阵列的3D探地雷达,它能同时采集纵横两个方向的路面信息。借助不断发展的信号处理技术和数值处理技术,结合了3D探地雷达信号特征和XCMP法,建立扩建路面厚度及病害测量的通用方法并将上述方法用于连霍高速改扩建项目。结果表明,XCMP法可采集获得清晰的路面结构图像并推算出路面厚度及病害位置,设计的4个XCMP方案的检测误差分别为8.51%,7.62%,3.97%,4.36%,可见XCMP方案基本满足检测需求;同时XCMP法与其他方法对比结果表明其具有更高的精度,误差波动较小,误差可控性强。在此基础上,选取厚度检测精度最高的方案进行病害位置的判定,主要检测病害包括路基脱空、断裂和碎裂,反射裂缝,隐含裂缝。依据病害在探地雷达图像上的区别,采用感兴趣区域(ROI)提取进行病害定位,同时结合上述路面厚度检测结果确定病害的位置和尺寸。
[Abstract]:In order to further improve the accuracy and efficiency of detection radar measurement of pavement thickness and diseases, ensure the measuring result can be directly used for the design of expanded pavement, extend the common center point method (the extended common midpoint, XCMP) modified by measuring expansion of pavement thickness and disease of GPR based on using XCMP probe the radar can determine the existing pavement thickness and location of disease and without the help of coring calibration of dielectric constant; at the same time, using a multi array 3D ground penetrating radar, the road information at the same time it can collect two directions. With the help of the continuous development of signal processing technology and numerical processing technology, combined with the 3D. The radar signal characteristics and XCMP method, a method of establishing general measurement of pavement thickness and disease extension and the method for Lianhuo expressway expansion project. The results show that the XCMP method can capture the clear road The surface structure of the image and calculates the thickness of pavement diseases and position detection error of 4 XCMP design is 8.51%, respectively, 7.62%, 3.97%, 4.36%, visible XCMP scheme can meet detection requirements; at the same time XCMP method in comparison with other methods the results show that it has higher precision, the error of small fluctuations, controllable error. On this basis, determine the selection of the highest precision thickness detecting disease location, disease detection mainly including cavities in roadbed, fracture and fragmentation, reflective crack, crack. On the basis of disease in the exploration of hidden from radar images, a region of interest (ROI) extraction of disease location, at the same time combined to determine the location and size of the detection results of the thickness of pavement diseases.

【作者单位】：长安大学公路学院;新疆交通规划勘察设计研究院;
【基金】：交通运输部建设科技项目(2013 318 J08 220)
【分类号】：U418.6
【正文快照】： 0引言准确的路面检测结果为道路改扩建决策提供完善的数据支持。其中,公路路面厚度及病害发布情况对道路改扩建决策具有极为重要的影响,其检测结果直接关系到改扩建采用的技术和方案。然而,传统的钻心取样法对于路面厚度及病害分布情况的检测缺乏代表性,同时还存在工作效率低

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