A new algorithm for stope boundary optimization

Topal, E. and Sens, J. (2010) A new algorithm for stope boundary optimization. Journal of Coal Science and Engineering, 16 2: 113-119. doi:10.1007/s12404-010-0201-y

Author Topal, E.
Sens, J.
Title A new algorithm for stope boundary optimization
Journal name Journal of Coal Science and Engineering   Check publisher's open access policy
ISSN 1006-9097
Publication date 2010
Sub-type Article (original research)
DOI 10.1007/s12404-010-0201-y
Open Access Status
Volume 16
Issue 2
Start page 113
End page 119
Total pages 7
Place of publication Beijing, China
Publisher Zhongguo Meitan Xuehui / China Coal Society
Abstract Stopes can be simply defined as an underground opening from which ore has been excavated. Selection of the best combination of available stope boundary will directly affect the profitability of the operation. While a few attempts has been initiated to generate the optimum stope boundary for underground mining, they fail to guarantee a true optimal-ity in three-dimension block models. This paper proposed a new methodology which can find optimum stope layout for a given resource model in three-dimensions. The paper initially critically reviewed important stope boundary optimisation studies thus far, then proposed a new methodology in order to find the best stope layout for a given deposit. Subsequently it applied the proposed methodology into a block model to test its ability of producing optimum results and demonstrated its applicability in a number of different scenarios. In the last section, further analysis on strategies to find the optimum stope boundaries were demonstrated. The results prove that the proposed algorithm can find optimum stope boundaries and layouts in three-dimension for different stope sizes and stope selection strategies.
Keyword Optimisation
Stope design
Stope layout algorithm
Underground mining
Q-Index Code CX
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Mathematics and Physics
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