基于节理网络模拟和岩体分形理论的块度预测研究  

Research on Fragmention Prediction Based on Joint Network Simulation and Fractal Theory

作　　者：刘泉[1] 母昌平[1] 段峻峰[1] 

机构地区：[1]四川省冶金设计研究院

出　　处：《现代矿业》2015年第3期1-4,11,共5页Modern Mining

摘　　要：以某矿床为研究对象,在确定矿岩体可崩性的基础上,根据现场节理裂隙调查结果,统计其空间分布特征参数,运用蒙特卡罗随机模拟方法生成的节理网络,结合岩体分形理论,推导出块度预测模型,进行矿岩体初始块度的预测和分析。当特征尺寸定为1.2 m时,针对1 570 m中段调查的4个区域,节理网络模拟结果为:初始块度均存在大块,其大块率分别为8.8%、20%、14.83%和6.51%,平均大块率12.54%;岩体分形理论预测结果没有大块出现。预测结果为自然崩落法的设计与实施提供了可靠的参考依据。Taking a deposit as the research example,based on the determined cavability of ore and rock body,according to the field investigation results of joints and fissures,the spatial distribution characteristis parameters of joints and fissures are counted. The joint network is generated by Monte Carlo stochastic simulation method,the fragmentation prediction model is derived based on fractal theory of rock mass so as to conduct prediction and analysis on the initial fragmentation of ore and rock body. When the characteristics size is set to 1. 2 m,aiming at the four investigation areas of 1 570 m,according to the joint network simulation results,the larege initial blocks are existed,the bulk rates are 8. 8%,20%,14. 83% and 6. 51% respectively,and the average bulk rate is 12. 54%. According to the prediction results of fractal theory,there is no large block in the four areas. The above research results can provide some reliable reference for the design and practice of the natural caving mining method.

关 键 词：岩体分形理论 初始块度 预测分析 

分 类 号：TD853.36[矿业工程—金属矿开采]