Assessment of Mine Haulage Drift Safety Using Probabilistic Methods of Analysis
Mine haulage drifts are the arteries of any mine, as they are used to transport the valuable ore out of the mining zones as well as to move operators and equipment. Hence, their stability is crucial in underground mines. Drift instability could lead to serious consequences such as injuries, production delays and higher operational cost. This paper examines the issue of haulage drift safety, and probabilistic methods are used to assess drift unsatisfactory performance. Criteria used to define drift unsatisfactory conditions are: extent of yielding, and brittle shear failure. The Monte-Carlo Simulation (MCS) technique is used in conjunction with finite difference modelling software FLAC for random assignment of model input parameters in the FLAC grid. Comparison between these different unsatisfactory conditions is carried out to determine the most critical unsatisfactory performance for the mine haulage drift.
Underground Mining, Haulage drifts Stability Numerical modelling Monte-Carlo Simulation (MCS)
Wael Abdellah Hani S. Mitri Denis Thibodeau
Department of Mining and Materials Engineering, McGill University, Montreal, Canada H3A 2A7 Vale Ltd, Sudbury, Canada POM 1N0
国际会议
The First International Symposium on Mine Safety Science and Engineering (首届矿山安全科学与工程学术会议)
北京
英文
733-745
2011-10-27（万方平台首次上网日期，不代表论文的发表时间）