Early-warning evaluation and warning of rock burst using acoustic emission characteristics of coal sample failure

被引：0

作者：

Chen J. ^{[1
,2
]}

Liu B. ^{[1
,2
]}

Zhu C. ^{[1
,2
]}

Pu Y. ^{[1
,2
]}

Gao J. ^{[1
,2
]}

Cui Y. ^{[1
,2
,3
]}

Zhang C. ^{[1
,2
,4
]}

机构：

[1] State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing

[2] School of Resources and Safety Engineering, Chongqing University, Chongqing

[3] Jalai Nur Coal Industry Co., Ltd., Manzhouli

[4] China Energy Group Shenhua Xinjiang Energy Co., Ltd., Urumqi

来源：

Meitan Kexue Jishu/Coal Science and Technology (Peking) | 2023年 / 51卷 / 02期

关键词：

acoustic emission (AE); early warning model; microseismic; precursory information; rock burst; triaxial compression;

D O I：

10.13199/j.cnki.cst.2022-1720

中图分类号：

学科分类号：

摘要：

As the most common dynamic disaster of coal rock in deep coal mining, rock burst seriously affects the safe and efficient mining of coal resources. Accurate and timely to predict the rock burst is the best way to control and prevent it. In order to study the precursory information characteristics of coal rock impact to establish an efficient and accurate dynamic prediction model. The triaxial compression test of coal bursting liability performed to get the acoustic emission characteristic parameters of coal failure process, meanwhile the monitoring values of microseismic parameters of typical impact mine face were selected and compared with the AE parameters obtained in the laboratory, then based on the similarity of them, the relationship between laboratory-scale and engineering-scale impact acoustic information representation had been built. It shows the “stepwise” increase of accumulated AE energy during coal sample compression and the “lack of earthquake” phenomenon before the occurrence of large energy seismic events have a good correlation, both of them could be used to revealed the energy breeding process of coal and rock mass. The same energy index has the same evolutionary trend for the occurrence of large energy events at different scales, and it can be used as an early warning index of rock burst risk after quantification. In addition, the static factors and stress dynamic factors affecting the occurrence of rock burst in working face are selected, and the dynamic weights are given respectively by combining the microseismic parameters obtained, which modified by using the Bayesian probability, then a static cooperative comprehensive evaluation and early warning model of rock burst is constructed. Furthermore, the model is used to evaluate and warn the danger of a mining face in Henan Province, and the results are better than those of the traditional evaluation model, which shows the engineering applicability and accuracy of the model. © 2023 Coal Science and Technology. All rights reserved.

引用

页码：116 / 129

页数：13

共 27 条

[1] XIE Heping, REN Shihua, XIE Yachen, Et al., Development opportunities of the coal industry towards the goal of carbon neutrality, Journal of China Coal Society, 46, 7, pp. 2197-2211, (2021)
[2] YUAN Liang, Research progress of mining response and disaster prevention and control in deep coal mines, Journal of China Coal Society, 46, 3, pp. 716-725, (2021)
[3] XIE Heping, GAO Feng, JU Yang, Research and development of rock mechanics in deep ground engineering, Chinese Journal of Rock Мechanics and Engineering, 34, 11, pp. 2161-2178, (2015)
[4] DOU Linming, TIAN Xinyuan, CAO Anye, Et al., Present situation and problems of coal mine rock burst prevention and control in China, Journal of China Coal Society, 47, 1, pp. 152-171, (2022)
[5] XIA Yongxue, KANG Lijun, QI Qingxin, Et al., Five indexes of microseismic and their application in rock burst forecastion, Journal of China Coal Society, 35, 12, pp. 2011-2016, (2010)
[6] JIN Peijian, WANG Enyuan, LIU Xiaofei, Et al., Catastrophe progression method on comprehensive evaluation of rock burst, Journal of Мining & Safety Engineering, 30, 2, pp. 256-261, (2013)
[7] PAN Junfeng, QIN Zihan, WANG Shuwen, Et al., Preliminary study on early warning method based on weight comprehensive and different-load sources of coal bump, Journal of China Coal Society, 40, 10, pp. 2327-2335, (2015)
[8] JIANG Junjun, The characteristics of ae-microseism in the instability destruction of coal-rock mass and their application in rock burst prediction, pp. 78-84, (2016)
[9] CAI Wu, DOU Linming, SI Guangyao, Et al., A new seismic-based strain energy methodology for coal burst forecasting in underground coal mines, International Journal of Rock Мechanics and Мining Sciences, 123, (2019)
[10] CHEN Jie, ZHU Chao, DU Junsheng, Et al., A quantitative pre-warning for coal burst hazardous zones in a deep coal mine based on the spatio-temporal forecast of microseismic events, Process Safety and Environmental Protection, 159, pp. 1105-1112, (2022)

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