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作 者:Martha E.VILLALBA MATAMOROS Mustafa KUMRAL
机构地区:[1]Department of Mining and Materials Engineering, Mc Gill University
出 处:《Journal of Central South University》2019年第11期3126-3139,共14页中南大学学报(英文版)
基 金:Project(488262-15)supported by the Natural Sciences and Engineering Research Council of Canada
摘 要:Underground mines require complex construction activities including the shaft, levels, raises, winzes and ore passes. In an underground mine based on stoping method, orebody part(s) maximizing profit should be determined. This process is called stope layout optimization (SLO) and implemented under site-specific geotechnical, operational and economic constraints. For practical purpose, the design obtained by SLO shows consecutive stopes in one path, which assists in defining the mining direction of these stopes. However, this direction may not accommodate the spatial distribution of the ore grade: if the orebody orientation and mining direction differ, the value of the mining operation may decrease. This paper proposes an approach whereby paths in the SLO are defined as decision variables to avoid the cost of mining in the wrong direction. Furthermore, in the genetic-based formulation, which accounts for orebody uncertainty, a robust cluster average design process is proposed to improve SLO’s performance regarding metal content. A case study in narrow gold vein deposit shows that the profit of an underground mining operation could be underestimated by 25%-48% if the algorithm ignores stope layout orientation.地下矿山需要复杂的基建工作,包括竖井、中段、提升、盲井和溜井.使用空场法开采地下矿山时,要确定能使利润最大化的矿体部分,该过程称为采场布局优化(SLO),需要在特定场地的岩土工程、运营和经济约束下实施.在实际应用中,通过采场布局优化得到的设计图显示了一条路径上的连续采场,这有助于确定这些采场的开采方向.但是,该方向可能无法适应矿石品位的空间分布:如果矿体走向和开采方向不同,开采作业的价值可能会降低.本文提出了一种把采场布局优化中的路径定义为决策变量的方法,以避免在错误方向上开采造成损失.此外,在考虑矿体不确定性的遗传算法中,提出了一种鲁棒聚类平均设计方法,以提高采场布局优化在金属含量方面的性能.对薄金矿脉的实例研究表明,如果算法中忽略采场布局方向,地下采矿作业的利润可能会被低估25%~48%.
关 键 词:underground mine planning orebody uncertainty orebody orientation mining direction stope layout optimization
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