Sensitivity analysis of support safety factor for predicting the effects of contributing parameters on roof falls in underground coal mines
被引:63
作者:
Palei, S. K.
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h-index: 0
机构:
Banaras Hindu Univ, Inst Technol, Dept Min Engn, Varanasi 221005, Uttar Pradesh, IndiaBanaras Hindu Univ, Inst Technol, Dept Min Engn, Varanasi 221005, Uttar Pradesh, India
Palei, S. K.
[1
]
Das, S. K.
论文数: 0引用数: 0
h-index: 0
机构:
Indian Inst Technol, Dept Min Engn, Kharagpur 721302, W Bengal, IndiaBanaras Hindu Univ, Inst Technol, Dept Min Engn, Varanasi 221005, Uttar Pradesh, India
Das, S. K.
[2
]
机构:
[1] Banaras Hindu Univ, Inst Technol, Dept Min Engn, Varanasi 221005, Uttar Pradesh, India
[2] Indian Inst Technol, Dept Min Engn, Kharagpur 721302, W Bengal, India
bord and pillar;
Monte Carlo;
roof fall;
sensitivity analysis;
support safety factor;
D O I:
10.1016/j.coal.2008.05.004
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
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. (C) 2008 Published by Elsevier B.V.