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Multi-Objective Optimization of Stope Structure Parameters in Broken Rock Conditions Using Grey Relational Analysis

机译:灰色关联分析的破碎岩石采场结构参数多目标优化

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In order to optimize the stope structure parameters in broken rock conditions, a novel method for the optimization of stope structure parameters is described. The method is based on the field investigation, laboratory tests and numerical simulation. The grey relational analysis (GRA) is applied to the optimization of the stope structure parameters in broken rock conditions with multiple performance characteristics. The influencing factors include stope height, pillar diameter, pillar spacing and pillar array pitch, the performance characteristics include maximum tensile strength, maximum compressive strength and ore recovery rate. The setting of influencing factors is accomplished using the four factors four levels Taguchi experiment design method, and 16 experiments are done by numerical simulation. Analysis of the grey relational grade indicates the first effect value of 0.219 is the pillar array pitch. In addition, the optimal stope structure parameters are as follows: the height of the stope is 3.5 m, the pillar diameter is 3.5 m, the pillar spacing is 3 m and the pillar array pitch is 5 m. In-situ measurement shows that all of the pillars can basically remain stable, ore recovery rate can be ensured to be more than 82%. This study indicates that the GRA method can efficiently applied to the optimization of stope structure parameters.
机译:为了优化破碎岩石条件下的采场结构参数,描述了一种优化采场结构参数的新方法。该方法基于现场调查,实验室测试和数值模拟。灰色关联分析(GRA)被应用于具有多种性能特征的破碎岩石条件下采场结构参数的优化。影响因素包括采场高度,立柱直径,立柱间距和立柱阵距,性能特征包括最大抗拉强度,最大抗压强度和矿石回收率。影响因素的设定采用田口四级四因子实验设计方法完成,数值模拟完成16项实验。灰色关联度分析表明,第一效果值0.219是柱阵间距。另外,最佳采场结构参数如下:采场高度为3.5m,柱直径为3.5m,柱间距为3m,柱阵间距为5m。现场测量表明,所有支柱基本可以保持稳定,矿石回收率可以保证达到82%以上。这项研究表明,GRA方法可以有效地应用于采场结构参数的优化。

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