Volume 39 Issue 3
Jun.  2025
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Huang Xiaolin, Wang Jialong, Li Yong, Yu Tao, Yang Lei, Huang Cangcheng. Characteristic analysis of GPR forward simulation of pipeline leakage abnormal based on FDTD[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2025, 39(3): 409-415. doi: 10.20265/j.cnki.issn.1007-2993.2024-0204
Citation: Huang Xiaolin, Wang Jialong, Li Yong, Yu Tao, Yang Lei, Huang Cangcheng. Characteristic analysis of GPR forward simulation of pipeline leakage abnormal based on FDTD[J]. GEOTECHNICAL ENGINEERING TECHNIQUE, 2025, 39(3): 409-415. doi: 10.20265/j.cnki.issn.1007-2993.2024-0204

Characteristic analysis of GPR forward simulation of pipeline leakage abnormal based on FDTD

doi: 10.20265/j.cnki.issn.1007-2993.2024-0204
  • Received Date: 2024-05-14
  • Accepted Date: 2024-08-29
  • Rev Recd Date: 2024-07-06
  • Publish Date: 2025-06-09
  • Based on the obvious electrical difference between the abnormal area of pipeline leakage and the surrounding soil, a high-resolution, strong anti-jamming, high-efficiency, and non-destructive Ground Penetrating Radar (GPR) detection and imaging technology was proposed to solve the problem of accurate identification of abnormal seepage area of underground pipeline. To improve the recognition of radar image features of underground pipeline leakage, the Finite Difference Time Domain (FDTD) method was used to simulate the GPR electromagnetic wave response characteristics of different material pipelines, different filling, different leakage locations, and ranges. The migration imaging technique was introduced to concentrate the energy scattered on both sides of the object, thereby correctly repositioning the reflected waves. This approach effectively enhances the lateral resolution of GPR profiles. A characteristic spectrum for forward modeling of underground pipeline leaks was established and it provides a theoretical foundation for the interpretation of actual GPR detection images. The results show that the GPR method can accurately identify the leakage anomaly with clear and obvious features at the effective detection depth. The research results can provide references for the detection and identification of underground pipeline leakage.

     

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