Affiliation:
1. 1 State Key Laboratory of Coal Resources and Safe Mining School of Mines China University of Mining and Technology Xuzhou Jiangsu 221116 China cumt.edu.cn
2. 2 China University Mining & Technology School of Mines Jiangsu Engineering Laboratory Mine Earthquake Monitoring & Prevention Xuzhou Jiangsu 221116 China cumtb.edu.cn
3. 3 Huaiyin Institute of Technology Faculty Architecture & Civil Engineering Huai’an Jiangsu 223001 China hyit.edu.cn
4. 4 Kailuan (Group) Coal Industry Co Ltd Tangshan Hebei 063000 China
Abstract
Abstract
The occurrence of coal burst in underground coal mines is complex, abrupt, and diverse, and the evaluation and prediction of coal burst hazard is the premise of effective prevention and control of coal burst. In this study, a coal burst carrier system model under the synergistic action of roof, coal seams, and floor was established, and the evolution of coal burst in underground coal mines was discussed based on the stress-vibration-energy coupling principle. On this basis, an integration method of bursting strain energy and seismic velocity tomography for coal burst assessment was proposed. With the deep and complex panel in a mine as the research object, the coal burst risk of the panel during excavation was evaluated in time and space domains, respectively. Results showed that the bursting strain energy and the active seismic velocity tomography technology can accurately identify both the positive anomalies and the negative anomalies of stress field and energy field in the mining period. Moreover, the method can not only evaluate the coal burst risk of the panel in the temporal domain but also predict the area with potential strong seismic events in the spatial domain. The research conclusions can accurately illustrate the whole complex evolution process of coal burst in underground coal mines.
Funder
Postgraduate Research & Practice Innovation Program of Jiangsu Province
Natural Science Foundation of Jiangsu Province
National Basic Research Program of China
National Natural Science Foundation of China
Cited by
4 articles.
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