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基于蒙特卡罗随机模拟的矿岩崩落块度预测研究
引用本文:李响,贾明涛,王李管,白云飞.基于蒙特卡罗随机模拟的矿岩崩落块度预测研究[J].岩土力学,2009,30(4):1186-1190.
作者姓名:李响  贾明涛  王李管  白云飞
作者单位:中南大学,资源与安全工程学院,长沙,410083
摘    要:基于实测节理面空间几何参数,采用蒙特卡罗方法对某大型镍矿III矿区节理空间进行了模拟。采用自主研发的三维矿岩块度预测软件MAKEBLOCK对其矿岩块度分布进行了预测和分析。结果表明,该矿区大多数矿岩块体体积小于 0.2 m3,绝大多数块体形状为盘状和块状,块体等效尺寸大多在0.2 m到1.5 m之间。预测结果可以作为自然崩落法工程设计与实施的参考依据。

关 键 词:自然崩落法  蒙特卡罗方法  节理  块度预测
收稿时间:2008-04-15

Study of orefragment size prediction in block caving based on Monte Carlo stochastic simulation
LI Xiang,JIA Ming-tao,WANG Li-guan,BAI Yun-fei.Study of orefragment size prediction in block caving based on Monte Carlo stochastic simulation[J].Rock and Soil Mechanics,2009,30(4):1186-1190.
Authors:LI Xiang  JIA Ming-tao  WANG Li-guan  BAI Yun-fei
Institution:School of Resources and Safety Engineering, Central South University, Changsha 410083, China
Abstract:A simulation of the joint network in mining area III of a nickel mine in China is made based on the Monte Carlo method and by using joint plane space geometrical data measured in-situ. According to the above theory, a 3D fragmentation size prediction software named MAKEBLOCK is developed and used in the forecast and analysis of ore fragmentation size distribution of the mining area. The result shows that the most of the ore body blocks are discoid and blocky, with block size less than 0.2 m3 and equivalent dimension from 0.2m to 0.5m. The predicting results can be used as the basis for design and practice of block caving.
Keywords:block caving method  Monte Carlo method  joint  fragmentation prediction
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