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http://dx.doi.org/10.14481/jkges.2022.23.8.29

The Effect of Ground Heterogeneity on the GPR Signal: Numerical Analysis  

Lee, Sangyun (Department of Civil Engineering, Inha University)
Song, Ki-il (Department of Civil Engineering, Inha University)
Ryu, Heehwan (Structural & Seismic Technology Group, KEPRI)
Kang, Kyungnam (Research Institute of Construction & Environmental System, Inha University)
Publication Information
Journal of the Korean GEO-environmental Society / v.23, no.8, 2022 , pp. 29-36 More about this Journal
Abstract
The importance of subsurface information is becoming crucial in urban area due to increase of underground construction. The position of underground facilities should be identified precisely before excavation work. Geophyiscal exporation method such as ground penetration radar (GPR) can be useful to investigate the subsurface facilities. GPR transmits electromagnetic waves to the ground and analyzes the reflected signals to determine the location and depth of subsurface facilities. Unfortunately, the readability of GPR signal is not favorable. To overcome this deficiency and automate the GPR signal processing, deep learning technique has been introduced recently. The accuracy of deep learning model can be improved with abundant training data. The ground is inherently heteorogeneous and the spacially variable ground properties can affact on the GPR signal. However, the effect of ground heterogeneity on the GPR signal has yet to be fully investigated. In this study, ground heterogeneity is simulated based on the fractal theory and GPR simulation is carried out by using gprMax. It is found that as the fractal dimension increases exceed 2.0, the error of fitting parameter reduces significantly. And the range of water content should be less than 0.14 to secure the validity of analysis.
Keywords
Ground penetrating radar (GPR); Finite-difference time-domain (FDTD); Fractal; Numerical analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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