Asymmetrically focused DC resistivity-based detection method of water-saturated cross-shaft fracture

Accurate detection and then in-situ monitoring of cross-shaft water-saturated fractures are critical for obtaining essential data to advance lining-based disaster prevention theories. These capabilities are particularly significant for addressing geology challenges in shaft design, construction, and operation in Western China. Despite their importance, studies in this field remain limited, highlighting a need for further investigation. To address these challenges, we developed an innovative asymmetrically focused direct current (AFDC) -based method. Through comprehensive numerical simulations and model experiments incorporating freezing pipes, we characterized AFDC resistivity behavior under cross-pipe mode (CPM) and compared it with symmetrically focused direct current (FDC) resistivity. The results showed that both the AFDC and FDC resistivities increased as fracture width w decreased and offset distance d relative to left freezing pipe increased. The maximum horizontal propagation radius d max of the detection current increased as emitting and receiving electrodes spacing increased under single-pipe mode (SPM). Parameters d and w can be determined with an error <10 % by initially obtaining d = d max correspondent to FDC resistivity drop under SPM and afterwards obtaining w using a simplified equation correlating d and dimensionless AFDC or FDC resistivity under CPM. The developed AFDC-based method leverages freezing pipes, offering operational simplicity, cost-effectiveness and reliable detection and then real-time monitoring of water-saturated cross-shaft fracture.

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Publication Details

Journal
KSCE Journal of Civil Engineering
Published
2025-08-08
DOI
https://doi.org/10.1016/j.kscej.2025.100371
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Asymmetrically focused DC resistivity-based detection method of water-saturated cross-shaft fracture

Jia Chen, Xiaodong Zhao, Chen Liang, Guoyuan Wang
5 links
KSCE Journal of Civil Engineering
Geophysical Methods and Applications
article

Asymmetrically focused DC resistivity-based detection method of water-saturated cross-shaft fracture

Jia Chen, Xiaodong Zhao, Chen Liang, Guoyuan Wang
article en

Abstract

Accurate detection and then in-situ monitoring of cross-shaft water-saturated fractures are critical for obtaining essential data to advance lining-based disaster prevention theories. These capabilities are particularly significant for addressing geology challenges in shaft design, construction, and operation in Western China. Despite their importance, studies in this field remain limited, highlighting a need for further investigation. To address these challenges, we developed an innovative asymmetrically focused direct current (AFDC) -based method. Through comprehensive numerical simulations and model experiments incorporating freezing pipes, we characterized AFDC resistivity behavior under cross-pipe mode (CPM) and compared it with symmetrically focused direct current (FDC) resistivity. The results showed that both the AFDC and FDC resistivities increased as fracture width w decreased and offset distance d relative to left freezing pipe increased. The maximum horizontal propagation radius d max of the detection current increased as emitting and receiving electrodes spacing increased under single-pipe mode (SPM). Parameters d and w can be determined with an error <10 % by initially obtaining d = d max correspondent to FDC resistivity drop under SPM and afterwards obtaining w using a simplified equation correlating d and dimensionless AFDC or FDC resistivity under CPM. The developed AFDC-based method leverages freezing pipes, offering operational simplicity, cost-effectiveness and reliable detection and then real-time monitoring of water-saturated cross-shaft fracture.

KSCE Journal of Civil EngineeringVol. 30(2)
China University of Mining and Technology (CN), China Coal Technology and Engineering Group Corp (China) (CN)
National Natural Science Foundation of China, National Science and Technology Major Project
Clean water and sanitation
Openalex Percentile: Top 75%
Geophysical Methods and Applications
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