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基于随机介质理论自然崩落法矿岩流动特性

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成果类型:
期刊论文
论文标题(英文):
Flow Characteristics of Discrete Ore Rock of Block Caving Based on Stochastic Medium Theory
作者:
朱忠华;王李管;涂小腾;毕林
通讯作者:
Zhu, Zhong-Hua(zzhnihao545@126.com)
作者机构:
[王李管; 朱忠华; 涂小腾; 毕林] School of Resources and Safety Engineering, Central South University, Changsha, 410083, China
[朱忠华] Nuclear Resources Engineering College, University of South China, Hengyang, 421001, China
通讯机构:
[Zhu, Z.-H.] S
School of Resources and Safety Engineering, Central South University, Changsha, China
语种:
中文
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
关键词(英文):
Attribute block model;Block caving;Ore and rock flow model;Particle flow;Stochastic medium
期刊:
东北大学学报(自然科学版)
ISSN:
1005-3026
年:
2016
卷:
37
期:
6
页码:
869-874
基金类别:
2011AA060407:国家高技术研究发展计划(863计划)
机构署名:
本校为其他机构
院系归属:
核资源工程学院
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.
摘要(英文):
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 differen...

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