Sensitivity analysis of support safety factor for predicting the effects of contributing parameters on roof falls in underground coal mines |
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| Authors: | SK Palei SK Das |
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| Institution: | aDepartment of Mining Engineering, Institute of Technology, Banaras Hindu University, Varanasi, 221 005, India;bDepartment of Mining Engineering, Indian Institute of Technology, Kharagpur, 721 302, India |
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| Abstract: | Roof falls accounted for 18.18% of all fatal accidents in Indian coal mines, contributing about 35.29% of all fatal accidents in below-ground operations in 2005. The support safety factor, always preferred in support planning and design of underground coal mines, may be an important predictor for roof falls. In this paper, geotechnical data were collected from 14 roof fall incident places in an underground coal mine, located in the Eastern India, which has bord and pillar method of workings. The mean value of probabilistic support safety factor for the case study mine was found to be 1.24. However, the probability, of the estimated support safety factor of less than or equal to one, was found to be 0.246. Sensitivity analysis was conducted to analyze the effects of the contributing parameters on support safety factor and the likelihood of the roof fall. The multi-variate regression analysis was carried out for the data generated by Monte Carlo method to correlate the contributing factors to support safety factor. It ranked gallery width as the first parameter to control the support safety factor. |
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| Keywords: | Bord and pillar Monte Carlo Roof fall Sensitivity analysis Support safety factor |
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