基于随机介质理论自然崩落法矿岩流动特性

为准确掌握自然崩落法崩落矿岩流动特性,提出属性块体建模与随机介质理论相结合的方法,进行崩落矿岩流动模拟.建立属性块体模型拟合目标区域,实现目标区域离散化;建立适宜程序实现的颗粒体数据结构和随机介质空位传递模型;提出放出指数和块度指数概念.分别模拟和分析固定目标放矿区域、不同放矿高度以及不同块度条件下的矿岩流动,并在数字矿山软件平台上用C++编程语言予以实现.结果表明:该方法得到了崩落矿岩流动过程中品位变化及形态发育规律.

Flow Characteristics of Discrete Ore Rock of Block Caving Based on Stochastic Medium Theory

In order to accurately grasp the flow characteristics of ore and rock of block caving， a new method that combining attribute block model with stochastic medium theory was proposed. The procedure of simulation flow is as follows: attribute block model was established to fit and discretize target region. Block attributes were obtained by attribute interpolation technique. A proper flow model for programming was established. The concept of draw-out index and block index was put forward to analyze the flow characteristics of the rock under different oredraw conditions. Flow simulation was realized based on the proposed method in 3D visualization platform with C++ language. The results show that with the draw height increasing， the length of the long axis of the draw out body increases linearly， and the length of the short axis and the eccentricity increase gradually， showing a power exponential relationship. Under constant block index， with the increase of draw-out index， the ellipsoid of the ore body is gradually developed， the eccentricity ratio is increased， and the average depth of the depression increases. Under constant draw-out index， with the increase of block index， the eccentricity of the ellipsoid is decreased.