基于gpr的半刚性地基下注浆孔洞检测及评价

Jiaqi Zheng
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引用次数: 0

摘要

半刚性基础下的空洞是道路施工中常见的缺陷。这类隐蔽性损伤的检测和修复以及注浆处理效果的评价都存在一定的困难。在道路检测与养护中,研究基层下空穴的检测与判断以及浆液扩散的评价是十分必要的。本研究通过理论分析、数值模拟和实际数据分析,在探地雷达图像上生成了不同类型、不同尺寸的基底下空洞特征,提出了基底下空洞的探测和尺寸测量方法,研究了数据分析技术的过程和效果。(1)从理论上分析了a扫描和b扫描探地雷达图像上不同类型(充气、充水和灌浆)和尺寸(高度和水平尺寸)的基底下空洞特征。利用基于时域有限差分法的gprMax软件模拟了探地雷达波在道路结构内的传输,验证了孔洞图像特性理论分析的结论。(2)研究了空洞的检测方法和空洞高度的估计方法,重点研究了高度在0.01m ~ 0.3m之间的空洞。将系统辨识的最小二乘法和Tikhonov正则化反卷积成功地应用于充气空洞的检测和维数估计,并讨论了它们的应用条件。对于充水和灌浆处理过的孔洞,采用基于反射振幅的介电常数法进行孔洞探测。(3)研究了孔洞水平尺寸的估算方法,重点研究了长度为0.04m ~ 0.52m的孔洞。根据充气孔洞的模拟结果,选择估算指标,通过回归分析得到孔洞长度的线性计算公式。(4)讨论了数据处理过程。同时,从噪声滤波和衰减补偿两方面研究了不同数据处理技术对图像特性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GPR-based Detection of Voids and Evaluation of Grouting Under Semi-rigid Basement
The void underneath semi-rigid base is a common defect in roads. There are some difficulties in the detection and repair for this kind of hidden damage, as well as in the evaluation of the effects of grouting treatment. For the detection and maintenance of roads, it is essential to study the detection and judging for voids underneath base and the evaluation of the spread of grout. Through theoretical analysis, numerical simulation and analysis of real data, this research generated the characteristics of under-base voids of different types and dimensions on GPR images, proposed the detecting and dimension-measuring methods for under-base voids, and studied the process and effects of data analysis techniques. (1) The characteristics of under-base voids of different types (air-filled, water-filled or grout-treated) and dimensions (height and horizontal dimensions), on A-scan and B-scan GPR image respectively, were analyzed theoretically. The gprMax software which is based on the FDTD method was employed to simulate the transmission of GPR wave within the road structure, which certified the conclusion of theoretical analysis of the image characteristics of voids. In addition, the influence of antenna frequency on the detection for voids are also analyzed.(2) Approaches for detecting voids and for estimating its height were studied, focusing on voids with a height ranging from 0.01m to 0.3m. The Least Squares Method of System Identification and the Tikhonov Regularized Deconvolution were both successfully applied to the detection and dimension estimation of air-filled voids, and their application conditions were discussed. As for water-filled and grout-treated voids, the reflection-amplitude-based dielectric constant method was used for void detection.(3) The approach for estimating the horizontal dimension of voids was studied, focusing on voids with a length ranging from 0.04m to 0.52m. According to the simulating results of air-filled voids, the estimation index was selected, and the linear calculation formula for length of voids was generated by regression analysis. (4) The data processing process was discussed. Also, the effects of different data processing techniques were studied in terms of noise filtering and attenuation compensation, and their influence on the image characteristics was also discussed.
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