Ji, Z.; Jiang, P.; Yi, H.; Zhuo, Z.; Li, C.; Wu, Z. Application of Two Novel Acoustic Emission Parameters on Identifying the Instability of Granite. Entropy2022, 24, 750.
Ji, Z.; Jiang, P.; Yi, H.; Zhuo, Z.; Li, C.; Wu, Z. Application of Two Novel Acoustic Emission Parameters on Identifying the Instability of Granite. Entropy 2022, 24, 750.
Ji, Z.; Jiang, P.; Yi, H.; Zhuo, Z.; Li, C.; Wu, Z. Application of Two Novel Acoustic Emission Parameters on Identifying the Instability of Granite. Entropy2022, 24, 750.
Ji, Z.; Jiang, P.; Yi, H.; Zhuo, Z.; Li, C.; Wu, Z. Application of Two Novel Acoustic Emission Parameters on Identifying the Instability of Granite. Entropy 2022, 24, 750.
Abstract
The issue of monitoring and early warning of rock instability has received increasing critical attention in the study of rock engineering. To investigate the damage evolution process of granite under triaxial compression tests, acoustic emission (AE) tests were performed simultaneously. This study firstly introduced two novel parameters, i.e., the coefficient of variation (CoV) of the information entropy and correlation dimension of the amplitude data from the AE tests, to identify the precursor of the failure of granite. Then the relationship between the changes in these parameters and the stress-time curve was compared and analyzed. The results of this study show that: (1) There is a strong correlation between the CoV of the information entropy and the failure process of granite. The granite failed when the CoV curve raised to a plateau. (2) The fluctuation of the correlation dimension indicates the different stages of the loading process, i.e., the initial compaction stage, the linear elastic stage, the yield stage, and the failure stage. Each stage contains a descending and a rising process in the correlation dimension curve, which indicates that this parameter could be used to identify the precursor of the failure as well. (3) The combined analysis of the two can improve the accuracy of rock instability prediction. This study provides new insights into the prediction of rock instability, which has theoretical implications for the stability of subsurface engineering rock masses.
Keywords
Information entropy; Correlation dimension; Acoustic emission; Rock instability
Subject
Engineering, Automotive Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
