Study on ground-penetrating radar wave field characteristics for earth dam disease considering the medium randomness

被引:0
作者
Xue, Binghan [1 ,2 ]
Zhang, Siye [1 ,2 ]
Dong, Zhifeng [1 ,2 ]
Fang, Hongyuan [1 ,2 ]
Lei, Jianwei [1 ,2 ]
Zhai, Kejie [1 ,2 ]
Chen, Jianguo [1 ,2 ,3 ]
机构
[1] Zhengzhou Univ, Yellow River Lab, Zhengzhou 450001, Peoples R China
[2] Zhengzhou Univ, Sch Water Conservancy & Transportat, Zhengzhou 450001, Peoples R China
[3] Guangxi Inst Water Resources Res, Guangxi Key Lab Water Engn Mat & Struct, Nanning 530023, Peoples R China
关键词
Earth dam; Ground-penetrating radar; Medium randomness; Wave field characteristic; PERFECTLY MATCHED LAYER; NUMERICAL-SIMULATION; GPR; PROPAGATION;
D O I
10.1016/j.jappgeo.2024.105535
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Ground-Penetrating Radar (GPR) has been widely used for non-destructive testing of earth dam disease. However, the forward simulation of GPR for earth dam disease often employs layered homogeneous models, neglecting the influence of medium randomness on its wave field characteristics. Therefore, considering the randomness of the medium, a geoelectrical model for earth dam disease is established, which is based on the mixed-type autocorrelation function and the finite element time-domain method. The influence of random medium model parameters on the single-channel wave of GPR is analyzed. The electromagnetic wave propagation characteristics under different medium models are explored. The forward simulation of GPR for earth dam disease such as panel voiding, concentrated seepage, and loosening are performed. The differences in propagation characteristics for earth dam disease between uniform medium model and random medium model are compared. Compared to the calculation results of the uniform medium model, the propagation speed and amplitude of electromagnetic waves in the random medium model changes, and a number of diffraction waves are present. When performing forward simulation of GPR for earth dam disease, considering medium randomness can deepen the understanding of the GPR section view and help improve the accuracy of image interpretation.
引用
收藏
页数:11
相关论文
共 37 条
[31]   Time-lapse electrical resistivity tomography characterization for piping detection in earthen dam model of a sandbox [J].
Shin, Seungwook ;
Park, Samgyu ;
Kim, Jung-Ho .
JOURNAL OF APPLIED GEOPHYSICS, 2019, 170
[32]  
Song F., 2021, MA thesis
[33]  
[苏晓波 Su Xiaobo], 2015, [地球物理学进展, Progress in Geophysiscs], V30, P1772
[34]   A perfectly matched layer for second order electromagnetic wave simulation of GPR by finite element time domain method [J].
Wang HongHua ;
Lu YuZeng ;
Wang MinLing ;
Gong JunBo ;
Zhang Zhi .
CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2019, 62 (05) :1929-1941
[35]  
[王敏玲 Wang Minling], 2018, [地球物理学进展, Progress in Geophysiscs], V33, P1974
[36]   gprMax: Open source software to simulate electromagnetic wave propagation for Ground Penetrating Radar [J].
Warren, Craig ;
Giannopoulos, Antonios ;
Giannakis, Iraklis .
COMPUTER PHYSICS COMMUNICATIONS, 2016, 209 :163-170
[37]  
[殷学鑫 Yin Xuexin], 2011, [石油地球物理勘探, Oil Geophysical Prospecting], V46, P862