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Optimizing a Rock-Like Material Mix Design for Enhancing the Mining Fracture Monitoring Accuracy of Borehole Resistivity Method

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Abstract

Water disaster prevention and gas extraction in coal mining need to accurately determine the development strata of mining fractures. The borehole resistivity method (BRM) is an advanced technology to monitor the dynamic development of mining fractures during the construction of underground engineering. However, the huge difference between the physical property of the sealing material for the BRM and the surrounding rock affects the accuracy of monitoring data. With the gradual expansion of the application range of BRM, the requirements for the monitoring accuracy of the technology are getting higher and higher. Therefore, it is an urgent engineering problem to develop a new rock-like material (RLM) to further improve the monitoring accuracy of BRM. This study aims to optimize the RLM mix design for BRM by introducing a few conductive ingredients such as steel slag (SS), graphite powder (GP), and multi-walled carbon nanotubes (MWCNs). To be consistent with the field conditions, the curing temperature, curing age, and triaxial stress loading and unloading scheme of RLM were designed to align with the temperature change, monitoring period for BRM, and stress conditions in the coal mines. The porosity, resistivity, and triaxial compressive strength of all rock-like material samples were tested. The results show that optimal mixture of the RLM is 41.9% SS, 27.9% cement, 1.4% GP, and 0.9% MWCNs in mass fraction. At this mixture, the RLM exhibited similar electrical resistivity, triaxial compressive strength, and shear strength to the country rock surrounding the boreholes. RLM not only improves the monitoring accuracy of the fracture development throughout the entire construction process but also fills the gap of lacking sealing materials with physical properties similar to rock, which were previously limited to adding salt to cement as the sealing material.

Highlights

  • A rock-like material that can improve the accuracy of fracture monitoring is optimized.

  • The effects of graphite powder and multi-walled carbon nanotubes on the properties of rock-like materials were discussed.

  • The influence of temperature on porosity, resistivity, and compressive strength of optimized rock-like materials was studied.

  • The rock-like material studied is a tentative exploration in the study of sealing materials in the field of fracture monitoring.

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The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.

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Acknowledgements

The first author has been awarded CSC scholarship to conduct part of their PhD research at WA School of Mines: Minerals, Energy, and Chemical Engineering. An opportunity for this collaborative research at both institutes in China and Australia is acknowledged.

Funding

This work was supported by the Young Science and Technology Talents Growth Project of Education Department of Guizhou Province (Q, J, H. KYZ[2022]124) and the Natural Scientific Research Project of Guizhou Provincial Department of Education (Q, J, H. KYZ[2015]340) and supported by China Scholarship Council.

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Contributions

All persons who have made substantial contributions to the work reported in the manuscript are listed as follows: Yuben Liu: data curation, methodology, writing—original draft. Zhu Gao: writing—reviewing and funding acquisition. Junjun Jiao: conceptualization and methodology. Mohammad Waqar Ali Asad: writing—reviewing and conceptualization. Michael Hitch: writing—reviewing. Danqi Li: data curation and writing—reviewing.

Corresponding author

Correspondence to Junjun Jiao.

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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Liu, Y., Gao, Z., Jiao, J. et al. Optimizing a Rock-Like Material Mix Design for Enhancing the Mining Fracture Monitoring Accuracy of Borehole Resistivity Method. Rock Mech Rock Eng (2024). https://doi.org/10.1007/s00603-024-03778-w

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  • DOI: https://doi.org/10.1007/s00603-024-03778-w

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