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Shock and Vibration
Volume 2015 (2015), Article ID 465017, 8 pages
http://dx.doi.org/10.1155/2015/465017
Research Article

Study on Dynamic Disaster in Steeply Deep Rock Mass Condition in Urumchi Coalfield

1School of Energy and Mining Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
2Key Laboratory of Western Mines and Hazard Prevention, Ministry of Education of China, Xi’an 710054, China
3School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China

Received 16 September 2014; Accepted 5 December 2014

Academic Editor: Shimin Liu

Copyright © 2015 Xing-Ping Lai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The possible mining seismicity (MS) and its prediction are important for safety and recovery optimization of mining in steep-heavy-thick rock mass condition. The stress-lever-rotation-effect (SLRE) model of fault-like mobilization was proposed preliminarily. Some innovation monitoring technique approaches for mining seismicity assessment were successfully fulfilled at Wudong Mine of Urumchi Coalfield, China. The characteristics on acoustic-seismic-wave index indicated the spatial-temporal-strength and stress redistribution of steeply deeper-heavy thick coal and rock masses. Applications in field investigations showed that the innovation monitoring (in time and space) of these instruments could provide important information about the performance of mining disturbed structures (heading and steep pillar) during caving of competent overlying roof strata. The prediction and evaluation for mining seismicity were applicable and valid. Operating practice showed that mining efficiency was raised and conspicuous economic benefit was obtained. This approach provides essential data for assessing mining seismicity, coal burst, dynamic hazard prevention, and deep mining potential.