Probabilistic Analysis of Stability of Chain Pillars in Tabas Coal Mine in Iran Using Monte Carlo Simulation (original) (raw)
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International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 1985
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This paper deals with the risk analysis and assessment of the pillars strength problems in the Estonia oil shale mine. Aim of this investigation was to determine the strength parameters and predict the bearing capacity of the pillars in Estonia mine, mining block No. 3107 Methods were based on theoretical investigation and experimental data of in-situ conditions. It is given the geological description of the mining block and determined the strength parameters, moisture content and volume density of the oil shale and limestone layers.
RISK ANALYSIS OF THE PILLAR STRENGTH IN THE ESTONIA MINE
Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference, 2015
ABSTRACT This paper deals with the risk analysis and assessment of the pillars strength problems in the Estonia oil shale mine. Aim of this investigation was to determine the strength parameters and predict the bearing capacity of the pillars in Estonia mine, mining block No. 3107 Methods were based on theoretical investigation and experimental data of in-situ conditions. It is given the geological description of the mining block and determined the strength parameters, moisture content and volume density of the oil shale and limestone layers. Analysis showed that the used risk analysis method is applicable for Estonian oil shale mines. The results of the risk analysis are of particular interest for practical purposes.
MINING BLOCK STABILITY PREDICTION BY THE MONTE CARLO METHOD
staff.ttu.ee
This paper analysis the stability of the mining blocks by the Monte Carlo method in Estonian oil shale mines, where the room-and-pillar mining system is used. The pillars are arranged in a singular grid. The oil shale bed is embedded at the depth of 40-75 m. The processes in overburden rocks and pillars have caused the subsidence of the ground surface. Visual Basic for Application was used for the modeling. Through Monte Carlo simulation, room-and-pillar stable parameters can be calculated. Model allows determination the probability of spontaneous collapse of the pillars and surface subsidence by the parameters of registered collapsed mining blocks. Proposed method suits as an express-method for stability analysis and failure prognosis. It is applicable in different geological conditions, where the room-and-pillar mining system is used.
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Firstly, this paper reports about the probabilistic solutions of the problems in engineering design (i.e. applications in mining industry hard rock disintegration process, and applications in biomechanics & traumatology designing of the external fixators applied in traumatology and orthopaedics).Secondly,this paper reports about the new probabilistic application in economics (evaluation of an investment project). Theory and applications of the Simulation-Based Reliability Assessment (SBRA) Method (i.e.direct probabilistic Monte Carlo approach) are presented in the solutions and evaluations. Applications of the SBRA method in these areas of are new and innovative trends in mechanics and economics. Keywords—Probability, Simulation-Based Reliability Assessment (SBRA) Method, design, mining, rock mechanics, biomechanics, traumatology, economics, investment, net present value.
Monte Carlo reliability simulation of underground mining drilling rig
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