Experimental investigation of true triaxial unloading rockburst precursors based on critical slowing-down theory

被引:0
|
作者
Jieyu Li
Dongqiao Liu
Manchao He
Yunpeng Guo
Haosen Wang
机构
[1] China University of Mining and Technology,State Key Laboratory for GeoMechanics and Deep Underground Engineering
[2] University of British Columbia,Norman B. Keevil Institute of Mining Engineering
来源
Bulletin of Engineering Geology and the Environment | 2023年 / 82卷
关键词
Rockburst experiment; Rockburst warning; Acoustic emission (AE); Critical slowing-down theory; AE localization;
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中图分类号
学科分类号
摘要
Rockburst warnings are a significant problem in the field of rock engineering. In this study, a rockburst experimental system was developed to conduct a true triaxial single-side rapid unloading rockburst experiment. The rockburst process and time were recorded using a high-speed camera. Based on the critical slowing-down theory, the acoustic emission (AE) RA/AF, duration, and rise time in the rockburst process were studied to obtain rockburst precursor information. The main conclusions of the experiment are as follows. (1) In the early stage of rockburst, the AE signal appears to be a critical-slowing phenomenon at the critical point, which is manifested as an increase in the variance and autocorrelation coefficient, and it also appears in the increase in the variance and autocorrelation coefficient during rapid unloading. A recording made using a high-speed camera shows that the rockburst occurrence time does not necessarily correspond to the peak stress point of the stress–strain curve. (2) The variances in the AE RA/AF value, duration, and rise time are the same. The sudden change time of the precursor signal is the same, the waveform fluctuation is similar, and they all appear before the rockburst. At this time, the AE localization event shows that many high-energy events occur in the sandstone, and cracks appear on the sandstone surface. (3) The autocorrelation coefficient fluctuates considerably compared with the variance; therefore, the variance can be considered the main criterion for rockburst precursors. This study provides a theoretical basis for predicting rockbursts.
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