Microseismic Signal Characteristics of the Coal Failure Process under Weak-Energy and Low-Frequency Disturbance

Xiaoyuan Sun, Yongliang He (), Tingxu Jin, Jianlin Xie, Chuantian Li and Jiewen Pang
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Xiaoyuan Sun: College of Safety and Emergency Management Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
Yongliang He: College of Safety and Emergency Management Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
Tingxu Jin: College of Safety and Emergency Management Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
Jianlin Xie: College of Safety and Emergency Management Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
Chuantian Li: College of Safety and Emergency Management Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
Jiewen Pang: College of Safety and Emergency Management Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China

Sustainability, 2023, vol. 15, issue 19, 1-29

Abstract: In deep mining, “critical static stress + slight disturbance” is an important inducing form of coal mine rockburst disasters. In previous studies, the critical static stress has been shown to be consistent with the loading direction of a slight disturbance but cannot reflect all types of rockbursts. In addition, the research that uses microseismic (MS) signals to reflect the overall process and critical stages of coal failure and instability under weak-energy and low-frequency disturbance conditions is immature, and more information, such as the critical state, has not been fully revealed. The aims of this paper are to further elucidate the important role of weak-energy and low-frequency disturbances in the occurrence of rockburst disasters. First, briquette samples were prepared from the Tashan Coal Mine, which is severely affected by rockbursts, and their homogeneity was verified using ultrasonic longitudinal wave velocity. Second, the natural frequency of the coal sample specimens was measured using a testing system. Then, based on the self-developed static pressure loading system, dynamic and static combined loading test system and MS signal monitoring device, the MS signal characteristics during the process of coal body failure and instability were comprehensively analysed. Finally, a comparison was made between weak-energy and low-frequency disturbances and impact disturbances. The results are summarized as follows. (1) The longitudinal wave velocity test results reflect that the briquette samples prepared in the experiment have high homogeneity. The smaller the particle size is, the higher the density and moulding pressure, and the denser the sample. (2) The natural frequency of the briquette samples is between 30.79 Hz and 43.34 Hz, and most of them fluctuate at approximately 35 Hz. (3) During the static loading stage, the occurrence of more than three MS signals of larger magnitude in a continuous cluster is an important criterion for the critical failure of the samples. (4) The weak-energy and low-frequency disturbance actually leads to fatigue damage, and the briquette sample experiences three stages: the near-threshold stage, the high-speed expansion stage and the final fracture stage. The smaller the particle size of the coal sample, the denser the specimen, the stronger the amplitude and energy of the single effective MS signal formed during the destruction process, the longer the time duration of crack expansion from the near-threshold stage to the high-speed expansion stage, and the stronger the ability of the coal sample to resist weak-energy and low-frequency disturbances. This study may contribute to a more comprehensive understanding of the destabilization mechanism of coal bodies and MS signal characteristics under weak-energy and low-frequency disturbances and provide a reference for further research and discussion.

Keywords: rockburst; weak-energy and low-frequency disturbance; dynamic and static combined loading; coal instability; microseismic signal (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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