Failure evolution and disaster prediction of rock under uniaxial compression based on non-extensive statistical analysis of electric potential

Tiancheng Shan; Zhonghui Li; Haishan Jia; Enyuan Wang; Xiaoran Wang; Yue Niu; Xin Zhang; Dong Chen; Shan Yin; Quancong Zhang

International Journal of Mining Science and Technology (Jul 2024)

Failure evolution and disaster prediction of rock under uniaxial compression based on non-extensive statistical analysis of electric potential

Tiancheng Shan,
Zhonghui Li,
Haishan Jia,
Enyuan Wang,
Xiaoran Wang,
Yue Niu,
Xin Zhang,
Dong Chen,
Shan Yin,
Quancong Zhang

Affiliations

Tiancheng Shan: State Key Laboratory of Coal Mine Disaster Prevention and Control, China University of Mining and Technology, Xuzhou 221116, China; National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Zhonghui Li: State Key Laboratory of Coal Mine Disaster Prevention and Control, China University of Mining and Technology, Xuzhou 221116, China; National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China; Corresponding author.
Haishan Jia: State Key Laboratory of Coal Mine Disaster Prevention and Control, China University of Mining and Technology, Xuzhou 221116, China; National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Enyuan Wang: State Key Laboratory of Coal Mine Disaster Prevention and Control, China University of Mining and Technology, Xuzhou 221116, China; National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Xiaoran Wang: State Key Laboratory of Coal Mine Disaster Prevention and Control, China University of Mining and Technology, Xuzhou 221116, China; State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology, Xuzhou 221116, China
Yue Niu: State Key Laboratory of Coal Mine Disaster Prevention and Control, China University of Mining and Technology, Xuzhou 221116, China; State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China
Xin Zhang: State Key Laboratory of Coal Mine Disaster Prevention and Control, China University of Mining and Technology, Xuzhou 221116, China; National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Dong Chen: State Key Laboratory of Coal Mine Disaster Prevention and Control, China University of Mining and Technology, Xuzhou 221116, China; State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China
Shan Yin: State Key Laboratory of Coal Mine Disaster Prevention and Control, China University of Mining and Technology, Xuzhou 221116, China; National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China
Quancong Zhang: State Key Laboratory of Coal Mine Disaster Prevention and Control, China University of Mining and Technology, Xuzhou 221116, China; National Engineering Research Center for Coal Gas Control, China University of Mining and Technology, Xuzhou 221116, China; School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China

Journal volume & issue: Vol. 34, no. 7
pp. 975 – 993

Abstract

Read online

Rock failure can cause serious geological disasters, and the non-extensive statistical features of electric potential (EP) are expected to provide valuable information for disaster prediction. In this paper, the uniaxial compression experiments with EP monitoring were carried out on fine sandstone, marble and granite samples under four displacement rates. The Tsallis entropy q value of EPs is used to analyze the self-organization evolution of rock failure. Then the influence of displacement rate and rock type on q value are explored by mineral structure and fracture modes. A self-organized critical prediction method with q value is proposed. The results show that the probability density function (PDF) of EPs follows the q-Gaussian distribution. The displacement rate is positively correlated with q value. With the displacement rate increasing, the fracture mode changes, the damage degree intensifies, and the microcrack network becomes denser. The influence of rock type on q value is related to the burst intensity of energy release and the crack fracture mode. The q value of EPs can be used as an effective prediction index for rock failure like b value of acoustic emission (AE). The results provide useful reference and method for the monitoring and early warning of geological disasters.

Published in International Journal of Mining Science and Technology

ISSN: 2095-2686 (Print); 2589-062X (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Technology: Mining engineering. Metallurgy
Website: https://www.journals.elsevier.com/international-journal-of-mining-science-and-technology

About the journal

Abstract

Keywords