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

作者

Tiancheng Shan Zhonghui Li Haishan Jia Enyuan Wang
单位

State Key Laboratory of Coal Mine Disaster Prevention and Control,China University of Mining and Technology National Engineering Research Center for Coal Gas Control,China University of Mining and Technology School of Safety Engineering,China University of Mining and Technology State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources,China University of Mining and Technology State Key Laboratory for Geomechanics and Deep Underground Engineering,China University of Mining and Technology
摘要

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 selforganization 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 qGaussian 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.
基金项目(Foundation)

supportedbyNationalKeyR&DProgramofChina(2022YFC3004705)；theNationalNaturalScienceFoundationofChina(Nos.52074280,52227901and52204249)；thePostgraduateResearch&PracticeInnovationProgramofJiangsuProvince(No.KYCX24＿2913)；theGraduateInnovationProgramofChinaUniversityofMiningandTechnology(No.2024WLKXJ139)；
文章目录

1. Introduction
2. Experimental scheme and process
2.1.Test system
2.2.Sample preparation
2.3.Test scheme
3. Non-extensive statistical mechanics applied to EPs in rock failure process
3.1.Statistical analysis of q-Gaussian distribution
3.2.Self-organized critical prediction method based on Tsallis entropy
4. Results and analysis
4.1.EP response characteristics of rock failure
4.2.Non-extensive characteristics of EPs during rock failure
4.3.Analysis of rock failure features
5. Discussion
5.1.Effect of displacement rate and rock type on the q value of EPs
5.2.Self-organized critical prediction based on Tsallis entropy
5.3.Discussion on non-extensive statistical methods in EP monitoring
6. Conclusions
引用格式

[1]Shan T ,Li Z ,Jia H , et al.Failure evolution and disaster prediction of rock under uniaxial compression based on non-extensive statistical analysis of electric potential[J].International Journal of Mining Science and Technology,2024,34(07):975-993.