Coal burst risk comprehensive early warning method based on multi-index fusion empowerment

被引：0

作者：

Yang, Jing ^{[1
]}

Mu, Zonglong ^{[2
,3
]}

Li, Jiazhuo ^{[4
]}

Liu, Guangjian ^{[5
]}

Yin, Ziting ^{[2
,3
]}

Zhuang, Jiaxin ^{[2
,3
]}

机构：

[1] State Key Laboratory for Mining and Disaster Prevention and Control in Deep Coal Mine, Anhui University of Science and Technology, Huainan

[2] Jiangsu Engineering Laboratory of Mine Earthquake Monitoring and Prevention, China University of Mining and Technology, Xuzhou

[3] School of Mines, China University of Mining and Technology, Xuzhou

[4] School of Mining Engineering, Anhui University of Science and Technology, Huainan

[5] Institute of Rock Mechanics, Ningbo University, Ningbo

来源：

Journal of Mining and Strata Control Engineering | 2024年 / 6卷 / 03期

关键词：

burst risk evaluation method; coal burst; seismic source location; wave velocity evolution;

D O I：

10.13532/j.jmsce.cn10-1638/td.2024.03.005

中图分类号：

学科分类号：

摘要：

In order to enrich working face burst risk assessment method and advance the prevention and control system of coal burst, a comprehensive coal burst risk index W that integrates four evaluation indicators was established by combining the theoretical analysis and engineering practice. Combined with seismic source positioning and wave velocity tomography technology, comprehensive early warning of coal burst risk in each mining area was achieved. The results show that the seismic source is concentrated, and the wave velocity is abnormally high in the area with complex geological conditions and irregular coal pillars. The burst risk comprehensive evaluation index W established by integrating multi-index weighting has a good coupling relationship with the number and energy level of the seismic source, which can adapt to the burst risk evaluation of working face. The coal burst risk evaluation method that integrates source location, wave velocity tomography and multi-index fusion weighting can realize the identification of high stress concentration area, the positioning of burst risk area, the judgment of burst risk level and the detection of pressure relief effect. The research can provide some reference and guidance for the prevention and control of coal mine dynamic disaster. © 2024 Editorial Office of Journal of Mining and Strata Control Engineering. All rights reserved.

引用

共 30 条

[1]

QI Qingxin, LI Yizhe, ZHAO Shankun, Et al., 70 years of development of coal mine rockburst: Establishment and thinking of theory and technology system, Coal Science and Technology, 47, 9, (2019)

[2]

MU Zonglong, YANG Jing, JIAO Jianhang, Et al., Application of strong pressure relief technology in deep isolated coal face, Coal Science & Technology Magazine, 42, 2, (2021)

[3]

LI Hai, DU Taotao, SUN Bingcheng, Et al., Bursting preventation of hard roof by axialslit cutting and fracturing with abrasive jet, Journal of Mining and Strata Control Engineering, 5, 5, (2023)

[4]

PAN Yishan, Disturbance response instability theory of rockburst in coal mine, Journal of China Coal Society, 43, 8, pp. 2091-2098, (2018)

[5]

MIAO Yanping, CHENG Lixing, ZHENG Xuhe, Et al., Study on dynamic response characteristics of mining stress in shallow deep mining roadway, Journal of Mining and Strata Control Engineering, 4, 6, (2022)

[6]

DOU Linming, CAO Jinrong, CAO Anye, Et al., Research ontypes of coal mine tremor and propagation law of shock waves, Coal Science and Technology, 49, 6, (2021)

[7]

ZHAO Shankun, Mechanism and application of force-structure cooperative prevention and control on rockburst with deep hole roof preblasting, Journal of China Coal Society, 46, 11, pp. 3419-3432, (2021)

[8]

CAO Anye, LIU Yaoqi, YANG Xu, Et al., Physical index and data fusion-driven method for coal burst prediction in time sequence, Journal of China Coal Society, pp. 1-16, (2023)

[9]

WANG Tingting, LI Fang, HUO Yujia, Et al., Modified denoising algorithm of rock fracturing acoustic emission signal based on AO optimized VMD-wavelet packet, Journal of Mining and Strata Control Engineerin, 5, 6, (2023)

[10]

ZHANG Kexue, YAN Xingchen, HE Manchao, Et al., Study on intelligent adaptability evaluation of intelligent coal mining working face based on ANP and matter-element extension model, Journal of Mining and Strata Control Engineering, 5, 2, (2023)

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