摘要
以金川集团Ⅲ矿区为研究对象,根据现场不连续面参数调查结果,利用Monte Carlo模拟方法,产生不连续面综合数据库。然后确定构成岩块的节理面数量、建立三维坐标系统中节理面方程、确定构成岩块的顶点和每个顶点的坐标,并计算岩块的体积、判别岩块的形状特征,从而对矿石崩落块度进行预测。矿石的崩落块度直接影响采场的底部结构设计、出矿设备的选择、二次破碎、炸药消耗的估算等。经过模拟得出的崩落块度预测结果为:等效尺寸大于0.9 m的块体筛上累积体积百分比为38.2%,大于1.3 m的块体筛上累积体积百分比为17.2%。
Jinchuan No.3 mine area is taken as a study object. Based on the field investigation of discontinuity parameters, by adopting Monte Carlo simulation method, a synthetic database of discontinuities is generated. The ore fragmentation for block caving is predicted by determining the number of discontinuities that form a block, establishing the equation of the discontinuities in the 3D coordinate system, determining the actual vertices and the coordinate of each vertex, and the volume of the block is measured; the characteristics of the block shape are identified. The ore fragmentation has a direct influence on the configuration of stope bottom, the selection of loading and handling equipment, secondary crushing method, the estimation of explosive consumption and so on. The simulation results show that the fragmentation with equivalent size of more than 0.9 m account for 38.2 per cent and those more than 1.3 m account for 17.2 per cent of the total fragmentation volume.
出处
《岩土力学》
EI
CAS
CSCD
北大核心
2009年第6期1826-1830,共5页
Rock and Soil Mechanics
基金
国家自然科学基金重大项目(No.50490270)
关键词
自然崩落法
矿石崩落块度
块度预测
block caving method
ore-caved fragmentation
fragmentation prediction
