Study on the Influencing Factors of Direct Current Dipole Array for Tunnel Advance Detection and Its Application

The direct current resistivity method is a primary technique for detecting water-bearing structures ahead of tunnel and coal mine excavation faces. We propose a dipole array advance detection device based on the DC method, and quantified the advance detection effect and the optimum device parameters using numerical simulation, and then verified it on field application. Firstly, the corresponding methods for data gathering and processing are introduced. Then, according to simulation of several geoelectric models, we optimized the device parameters on the detection effectiveness, such as the current electrode numbers, electrode spacing, the shape and position of the anomalous body. The optimal device parameters are then selected based on these considerations. Using the optimized parameters, we finally conducted a field test to obtain the electrical response characteristics ahead of the tunneling face, and the results were validated with the transient electromagnetic method. The device successfully detects low-resistance anomalies at distances of 20 to 50 m ahead of the tunnel face, validated by borehole drilling. It illustrates that the dipole array advance detection device can at least detect low-resistance anomalies up to 40 m ahead of the tunneling face, with an electrode spacing of 4 m and four current electrodes. The device’s high detection accuracy and construction efficiency significantly reduce labor and material costs in field applications, offering both theoretical and practical value.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3553694
Citations
1
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
1.15
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article

Study on the Influencing Factors of Direct Current Dipole Array for Tunnel Advance Detection and Its Application

Jianhua Yue, Herui Zhang, Shuanggui Hu, Danyang Xi et al.
1 citations
IEEE Access
Geophysical Methods and Applications
1.15
article

Study on the Influencing Factors of Direct Current Dipole Array for Tunnel Advance Detection and Its Application

Jianhua Yue, Herui Zhang, Shuanggui Hu, Danyang Xi, Kailiang Lu, Chao Sun, Xiaozhen Teng
article en
1 citations

Abstract

The direct current resistivity method is a primary technique for detecting water-bearing structures ahead of tunnel and coal mine excavation faces. We propose a dipole array advance detection device based on the DC method, and quantified the advance detection effect and the optimum device parameters using numerical simulation, and then verified it on field application. Firstly, the corresponding methods for data gathering and processing are introduced. Then, according to simulation of several geoelectric models, we optimized the device parameters on the detection effectiveness, such as the current electrode numbers, electrode spacing, the shape and position of the anomalous body. The optimal device parameters are then selected based on these considerations. Using the optimized parameters, we finally conducted a field test to obtain the electrical response characteristics ahead of the tunneling face, and the results were validated with the transient electromagnetic method. The device successfully detects low-resistance anomalies at distances of 20 to 50 m ahead of the tunnel face, validated by borehole drilling. It illustrates that the dipole array advance detection device can at least detect low-resistance anomalies up to 40 m ahead of the tunneling face, with an electrode spacing of 4 m and four current electrodes. The device’s high detection accuracy and construction efficiency significantly reduce labor and material costs in field applications, offering both theoretical and practical value.

IEEE AccessVol. 13
China University of Mining and Technology (CN)
Openalex Percentile: Top 25%
Geophysical Methods and Applications
1.15
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Study on the Influencing Factors of Direct Current Dipole Array for Tunnel Advance Detection and Its Application — Jianhua Yue, Herui Zhang, et al. · IEEE Access (2025) | TGRS Research Map | TGRS