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Feasibility of Broken Ore Flow Simulation in Block Caving Mining Method Using Attribute Stochastic Medium Theory

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成果类型:
期刊论文
作者:
Dai, Bibo;Zhao, Xingdong;Zhu, Zhonghua;Tao, Ganqiang;Yin, Gui
通讯作者:
Zhonghua Zhu
作者机构:
[Dai, Bibo; Zhao, Xingdong] Northeastern Univ, Sch Resources & Civil Engn, Shenyang 110819, Peoples R China.
[Dai, Bibo] State Key Lab Safety & Hlth Met Mines, Maanshan 243004, Peoples R China.
[Tao, Ganqiang; Zhu, Zhonghua; Yin, Gui] Univ South China, Sch Resource Environm & Safety Engn, Hengyang 421001, Peoples R China.
通讯机构:
[Zhonghua Zhu] S
School of Resource Environment and Safety Engineering, University of South China, Hengyang 421001, China<&wdkj&>Author to whom correspondence should be addressed.
语种:
英文
关键词:
Attribute Stochastic Medium;attribute block model;mineral-rock flow;particle flow;ore drawing
期刊:
Minerals
ISSN:
2075-163X
年:
2022
卷:
12
期:
5
页码:
576-
基金类别:
The research presented in this paper was supported by the State Key Laboratory of Safety and Health for Metal Mines (China) (Grant No.2018-JSKSSYS-01).
机构署名:
本校为其他机构
摘要:
In this paper, to reveal the flow characteristics of broken mineral-rock of block caving, we present the Attribute Stochastic Medium Theory that combines an attribute block model with stochastic medium theory. An attribute block model was established to fit discrete target regions. A void transfer model and data structure were established based on stochastic medium theory. Our key contribution is that we propose Attribute Stochastic Medium Theory and present the concept of draw-out index and block fragmentation index. It can be used to analyze the flow characteristics of rock block under diffe...

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