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A zoning model for coal mining - induced strata movement based on microseismic monitoring

Citation

Cheng, G and Ma, T and Tang, C and Liu, H and Wang, S, A zoning model for coal mining - induced strata movement based on microseismic monitoring, International Journal of Rock Mechanics and Mining Sciences, 94 pp. 123-138. ISSN 1365-1609 (2017) [Refereed Article]

Copyright Statement

2017 Elsevier Ltd. All rights reserved.

DOI: doi:10.1016/j.ijrmms.2017.03.001

Abstract

A microseismic monitoring technique is adopted to investigate the distribution regularity of microseismic events released by the coal mining - induced roof rock mass along the vertical and horizontal directions in combination with mine geological data. On the basis of the quantity and energy distributions of the microseismic events recorded using the microseismic monitoring technique, a zoning method is first established for the roof strata movement in the vertical and horizontal directions. The vertically zoning method is then applied to analyze the microseismic monitoring results obtained in the Dongjiahe Coal Mine, which divides rock mass into six zones along the vertical direction, i.e. the caved zone, the block zone, the vertical fracture through-going zone, the vertical fracture zone, the separation zone and the continuous zone. The horizontally zoning model divides the roof strata movement into three zones, i.e. the calm zone, the generation zone impacted by working face and the historical generation zone. After that, based on the horizontally zoning model, a method is developed to determine the displacement angle using the microseismic monitoring data, which has been verified in the Dongjiahe Coal Mine.

Item Details

Item Type:Refereed Article
Keywords:microseismic monitoring, strata movement, zoning method, displacement angle
Research Division:Engineering
Research Group:Civil Engineering
Research Field:Civil Geotechnical Engineering
Objective Division:Construction
Objective Group:Construction Processes
Objective Field:Civil Construction Processes
Author:Liu, H (Dr Hong Liu)
ID Code:117122
Year Published:2017
Web of Science® Times Cited:5
Deposited By:Engineering
Deposited On:2017-05-31
Last Modified:2017-11-28
Downloads:0

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