4.7 Article Proceedings Paper

Understanding roof deformation mechanics and parametric sensitivities of coal mine entries using the discrete element method

出版社

ELSEVIER
DOI: 10.1016/j.ijmst.2019.12.006

关键词

Numerical modeling; Discrete element method; Coal mine roof rating; Analysis of roof bolt systems; Sensitivity analysis; Strain softening ubiquitous joints; Discrete fracture network

资金

  1. Alpha Foundation for the Improvement of Mine Safety and Health, Inc. (Alpha Foundation)
  2. Alpha Foundation
  3. National Institute of Occupational Health and Science (NIOSH) [200-2016-90154]

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Although conventional coal mine designs are conservative regarding pillar strength, local failures such as roof-falls and pillar bursts still affect mine safety and operations. Previous studies have identified that discontinuous, layered roof materials have some self-supporting capacity. This research is a preliminary step towards understanding these mechanics in coal-measure rocks. Although others have considered broad conceptual models and simplified analogs for mine roof behavior, this study presents a unique numerical model that more completely represents in-situ roof conditions. The discrete element method (DEM) is utilized to conduct a parametric analysis considering a range of in-situ stress ratios, material properties, and joint networks to determine the parameters controlling the stability of single-entries modeled in two-dimensions. Model results are compared to empirical observations of roof-support effectiveness (ARBS) in the context of the coal mine roof rating (CMRR) system. Results such as immediate roof displacement, overall stability, and statistical relationships between model parameters and outcomes are presented herein. Potential practical applications of this line of research include: (1) roof-support optimization for a range of coal-measure rocks, (2) establishment of a relationship between roof stability and pillar stress, and (3) determination of which parameters are most critical to roof stability and therefore require concentrated evaluation. (C) 2020 Published by Elsevier B.V. on behalf of China University of Mining & Technology.

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