东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2016, Vol. 37 ›› Issue (6): 869-874.DOI: 10.12068/j.issn.1005-3026.2016.06.023

• 资源与土木工程 • 上一篇    下一篇

基于随机介质理论自然崩落法矿岩流动特性

朱忠华1,2， 王李管1， 涂小腾1， 毕林1   

  1. (1. 中南大学 资源与安全工程学院， 湖南 长沙410083; 2. 南华大学 核资源工程学院， 湖南 衡阳421001)
  • 收稿日期:2015-08-12 修回日期:2015-08-12 出版日期:2016-06-15 发布日期:2016-06-08
  • 通讯作者: 朱忠华
  • 作者简介:朱忠华(1981-)，男，湖南郴州人，中南大学博士研究生; 王李管(1964－)，男，山西临汾人，中南大学教授.
  • 基金资助:
    国家高技术研究发展计划项目(2011AA060407).

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

ZHU Zhong-hua1,2， WANG Li-guan1， TU Xiao-teng1， BI Lin1   

  1. 1.School of Resources and Safety Engineering， Central South University， Changsha 410083， China; 2. Nuclear Resources Engineering College， University of South China， Hengyang 421001， China.
  • Received:2015-08-12 Revised:2015-08-12 Online:2016-06-15 Published:2016-06-08
  • Contact: ZHU Zhong-hua
  • About author:-
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摘要： 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.

关键词: 属性块体模型, 矿岩流动模型, 随机介质, 颗粒流, 自然崩落法

Abstract: 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.

Key words: attribute block model, ore and rock flow model, stochastic medium, particle flow, block caving

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