基于GprMax的道路路基空洞病害探地雷达正演模拟研究
The Forward Modeling Study of Road Subgrade Cavities Using Ground Penetrating Radar Based on GprMax
DOI: 10.12677/mos.2025.147517, PDF,   
作者: 赵永顺:重庆交通大学土木工程学院,重庆
关键词: 探地雷达正演模拟GprMax路基病害空洞Ground Penetrating Radar Forward Modeling GprMax Subgrade Defects Cavities
摘要: 近年来,中国公路建设迅速发展,但由路基病害引发的塌陷事故亦频繁发生。探地雷达(Ground Penetrating Radar, GPR)作为一种高效、精确且无损的探测技术,已在道路隐患检测中得到广泛应用。为快速掌握道路内部空洞病害在探地雷达下的电磁响应特征,提升空洞检测的准确性与技术指导水平。本文采用基于时域有限差分法(Finite-Difference Time-Domain, FDTD)的GprMax软件,针对不同形状、不同填充物、不同尺寸及不同激励源中心频率条件下的道路空洞进行正演模拟。通过分析生成的B-scan雷达剖面图,系统研究各类空洞病害的雷达波场响应特征,为实际道路GPR探测中的数据分析与解译提供理论依据与技术支持。
Abstract: In recent years, China’s highway construction has developed rapidly, but collapse accidents caused by subgrade defects have also occurred frequently. Ground Penetrating Radar (GPR), as an efficient, precise, and non-destructive detection technology, has been widely used in the detection of hidden road hazards. To quickly understand the electromagnetic response characteristics of subgrade cavities under GPR and improve the accuracy and technical guidance of cavity detection, this study employs GprMax software based on the Finite-Difference Time-Domain (FDTD) method to perform forward modeling of road cavities under various conditions—including different shapes, fillings, sizes, and center frequencies of excitation sources. By analyzing the generated B-scan radar profiles, the radar wavefield response characteristics of various cavity defects are systematically studied, providing theoretical foundations and technical support for data analysis and interpretation in practical GPR surveys of road infrastructure.
文章引用:赵永顺. 基于GprMax的道路路基空洞病害探地雷达正演模拟研究[J]. 建模与仿真, 2025, 14(7): 70-83. https://doi.org/10.12677/mos.2025.147517

参考文献

[1] 2023年交通运输行业发展统计公报[J]. 中国水运, 2024(15): 31-35.
[2] Wang, Z., Zhu, J. and Ma, T. (2024) Review on Monitoring of Pavement Subgrade Settlement: Influencing Factor, Measurement and Advancement. Measurement, 237, Article ID: 115225. [Google Scholar] [CrossRef
[3] Li, F., Yang, F., Qiao, X., Xing, W., Zhou, C. and Xing, H. (2023) 3D Ground Penetrating Radar Cavity Identification Algorithm for Urban Roads Using Transfer Learning. Measurement Science and Technology, 34, Article ID: 055106. [Google Scholar] [CrossRef
[4] Yang, M., Fang, H., Wang, F., Wang, Y., Du, X. and Lei, J. (2021) First-Order Symplectic Euler Method for Ground Penetrating Radar Forward Simulations in Dispersive Medium. Construction and Building Materials, 299, Article ID: 123904. [Google Scholar] [CrossRef
[5] Zhao, S. and Al-Qadi, I. (2017) Pavement Drainage Pipe Condition Assessment by GPR Image Reconstruction Using FDTD Modeling. Construction and Building Materials, 154, 1283-1293. [Google Scholar] [CrossRef
[6] 潘磊, 宛新林, 孙天宇, 等. 基于Gprmax的探地雷达地下空洞的正演及其研究[J]. 安徽建筑, 2021, 28(11): 167-169.
[7] 刘海, 黄肇刚, 岳云鹏, 等. 地下管线渗漏环境下探地雷达信号特征分析[J]. 电子与信息学报, 2022, 44(4): 1257-1264.
[8] Diamanti, N. and Redman, D. (2012) Field Observations and Numerical Models of GPR Response from Vertical Pavement Cracks. Journal of Applied Geophysics, 81, 106-116. [Google Scholar] [CrossRef
[9] Li, L., Yang, L., Hao, Z., Sun, X. and Chen, G. (2024) Road Sub-Surface Defect Detection Based on GprMax Forward Simulation-Sample Generation and Swin Transformer-YOLOX. Frontiers of Structural and Civil Engineering, 18, 334-349. [Google Scholar] [CrossRef
[10] Warren, C., Giannopoulos, A. and Giannakis, I. (2016) GprMax: Open Source Software to Simulate Electromagnetic Wave Propagation for Ground Penetrating Radar. Computer Physics Communications, 209, 163-170. [Google Scholar] [CrossRef
[11] Giannopoulos, A. (2005) Modelling Ground Penetrating Radar by GprMax. Construction and Building Materials, 19, 755-762. [Google Scholar] [CrossRef
[12] Kane Yee, (1966) Numerical Solution of Initial Boundary Value Problems Involving Maxwell's Equations in Isotropic Media. IEEE Transactions on Antennas and Propagation, 14, 302-307. [Google Scholar] [CrossRef
[13] 冯德山, 杨良勇, 王珣. 探地雷达FDTD数值模拟中不分裂卷积完全匹配层对倏逝波的吸收效果研究[J]. 地球物理学报, 2016, 59(12): 4733-4746.
[14] Evans, R., Frost, M., Stonecliffe-Jones, M. and Dixon, N. (2007) Assessment of in Situ Dielectric Constant of Pavement Materials. Transportation Research Record: Journal of the Transportation Research Board, 2037, 128-135. [Google Scholar] [CrossRef
[15] 刘宸. 基于深度学习的路面内部病害B扫描数据扩充及自动识别研究[D]: [硕士学位论文]. 重庆: 重庆交通大学, 2024.
[16] 尹光辉, 冯雨宁, 张怀凯, 等. 基于GprMax软件的道路路基空洞探地雷达正演模拟[J]. 物探化探计算技术, 2016, 38(4): 480-486.
[17] 吴旭东, 何文勇, 龙万学, 等. 基于探地雷达的路基病害正演模拟及分析[J]. 中外公路, 2020, 40(S2): 105-109.
[18] Giannopoulos, A. (2005) Modelling Ground Penetrating Radar by GprMax. Construction and Building Materials, 19, 755-762. [Google Scholar] [CrossRef
[19] Thitimakorn, T., Kampananon, N., Jongjaiwanichkit, N. and Kupongsak, S. (2016) Subsurface Void Detection under the Road Surface Using Ground Penetrating Radar (GPR), a Case Study in the Bangkok Metropolitan Area, Thailand. International Journal of Geo-Engineering, 7, Article No. 2. [Google Scholar] [CrossRef