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Performance Investigation of Rock Mass Classification Systems for Coal Mine Support Design in Indian Mining Conditions

IR@CIMFR: CSIR-Central Institute of Mining and Fuel Research, Dhanbad

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Title Performance Investigation of Rock Mass Classification Systems for Coal Mine Support Design in Indian Mining Conditions
 
Creator Paul, Avinash
Prakash, A.
Singh, Ajoy Kumar
 
Subject Mine Subsidence
 
Description : In underground coal mines, fatalities occur due to the roof fall in the newly developed faces or galleries during development or production of coal. Roof failure in coal mines is strongly related to the frequency of the lamination of bedding planes. System of support design with roof bolting, resin bolting and cable bolting for the aforesaid galleries is presently being decided on the basis of Rock Mass Rating (RMR). Rock mass classification systems have constituted an integral part of empirical mine design for over 100 years. Rock mass classification provides guidelines for stability performance to select appropriate support system as well. The primary objective of all the classification system is to quantify the intrinsic properties of rock mass based on set of chosen parameters and the second objective is to investigate how external loading condition acting on a rock mass influences its behavior. In this paper an attempt has been made to review various available RMR systems with their applications and drawbacks. Further, three major classification systems, namely, Bieniawski’s RMR (BRMR), Barton’s Q- system, CMMR (Coal Mine Roof Rating) and CMRI-ISM RMR (Central Mining Research Institute-Indian School of Mines) Rock Mass Rating are applied to 20 Indian coal mines and compared for prediction of rock loads and safety factors for optimum and rational design of support for underground coal mines. Numerical modeling was done to estimate the rock load and safety factor and the same was compared with the rock load and safety factors obtained by empirical approaches. It was found that among the compared RMR classifications system CMRI–ISM RMR holds good for design of support system in Indian geo-mining conditions.
 
Publisher IJEE
 
Date 2017-12
 
Type Article
PeerReviewed
 
Identifier Paul, Avinash and Prakash, A. and Singh, Ajoy Kumar (2017) Performance Investigation of Rock Mass Classification Systems for Coal Mine Support Design in Indian Mining Conditions. International Journal of Earth Sciences and Engineering , 10 (6). pp. 1212-1219. ISSN 0974-5904
 
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