In this paper, resistivity is employed to estimate the mechanical parameters of disturbed rock masses. The relation between resistivity and mechanical parameters is clarified by the damage variables based on resistivity and the interrelation among logging physical parameters. Such a relation is further mathematically expressed and verified by experiments and numerical simulations. To apply the proposed method for the stability evaluation of coal mine goaf sites, a calculation framework for the mechanical parameters of the mining rock mass is developed. Based on this framework, the in situ overburden mechanical parameters are obtained by resistivity detection, while the stability evaluation of abandoned goaf sites is performed together with FLAC3D. The results show that there is a reasonable relation between the mechanical parameters of the rock mass and resistivity, which is a linear negative relation between the mechanical parameters and the resistivity proportional coefficient. The goaf site is stable through both numerical results and in situ monitoring data. Additionally, it is demonstrated that the proposed method to calculate mechanical parameters by resistivity is of paramount significance to rock mass engineering.
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Estimation of the Mechanical Parameters of a Mining Rock Mass Based on Resistivity Detection
Chao Wang;
Chao Wang
China University of Mining and Technology Beijing
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Hongze Li;
Hongze Li
China University of Mining and Technology Beijing
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Yujie Zhang;
Yujie Zhang
China University of Mining and Technology Beijing
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Jili Feng
Jili Feng
China University of Mining and Technology Beijing
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Paper presented at the International Geomechanics Symposium, Al Khobar, Saudi Arabia, October 2023.
Paper Number:
ARMA-IGS-2023-0058
Published:
October 30 2023
Citation
Wang, Chao, Li, Hongze, Zhang, Yujie, and Jili Feng. "Estimation of the Mechanical Parameters of a Mining Rock Mass Based on Resistivity Detection." Paper presented at the International Geomechanics Symposium, Al Khobar, Saudi Arabia, October 2023. doi: https://doi.org/10.56952/IGS-2023-0058
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