Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/126652
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Type: Journal article
Title: Integrated optimisation of stope boundary and access layout for underground mining operations
Author: Hou, J.
Xu, C.
Dowd, P.A.
Li, G.
Citation: Mining Technology -Abingdon-, 2019; 128(4):193-205
Publisher: Taylor & Francis
Issue Date: 2019
ISSN: 2572-6668
2572-6676
Statement of
Responsibility: 
Jie Hou, Chaoshui Xu, Peter Alan Dowd and Guoqing Li
Abstract: For underground mines, two major designs that need to be optimised are the stope boundary and the access layout. The optimisation of these two components cannot be done independently as ore extracted from stopes is transported to the surface via the access network. Different stope locations result in different associated access development costs. This paper describes a proposed integrated optimisation model to optimise stope and access layouts simultaneously. The interactions and interdependency between stopes and access are ensured by a dynamic access development cost analysis based on recursive computations. Mixed integer non-linear programming is used to maximise the overall economic value subject to the constraints of generating optimal stopes and access layout, which is solved by a Genetic Algorithm modified for computational efficiency. A stratiform gold deposit is used as a case study to demonstrate that the new approach can provide a more profitable solution compared with traditional approaches.
Keywords: Underground mine optimisation; optimal stope layout and access development; mixed integer nonlinear programming; dynamic access development cost model
Rights: © 2019 Institute of Materials, Minerals and Mining and The AusIMM Published by Taylor & Francis on behalf of the Institute and The AusIMM
DOI: 10.1080/25726668.2019.1603920
Appears in Collections:Aurora harvest 4
Civil and Environmental Engineering publications

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