| 矿山露天转井下境界顶柱的数值模拟优化方法 |
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| 引用本文： | 姜谙男,陈勇.矿山露天转井下境界顶柱的数值模拟优化方法[J].岩土力学,2007,28(4):774-778. |
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| 作者姓名： | 姜谙男 陈勇 |
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| 作者单位： | 1. 大连海事大学交通工程与物流学院,大连,116026;东北大学资源与土木工程学院,沈阳,110004
2. 东北大学资源与土木工程学院,沈阳,110004;核工业第四研究设计院,石家庄,050021 |
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| 摘 要： | 露天底境界顶柱优化是露天转井下过渡时期的重要课题，该优化问题包括多个决策变量和多个评价指标，已有方法的优化效果不够理想。针对露天转井下境界顶柱优化特点，将遗传算法与三维数值模拟相结合，研究了境界顶柱全局优化的进化数值模拟方法，给出优化的指标和步骤，并将该方法用于大杏山铁矿的露天转井下境界顶柱的优化。工程应用表明所提出的井下境界顶柱优化方法是可行的。获得的最优方案对该矿山露天转井下的采矿设计具有指导作用。
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| 关 键 词： | 露天转井下 境界顶柱 进化数值模拟 多目标优化 |
| 文章编号： | 1000-7598-（2007）04-0774-05 |
| 收稿时间： | 2005-05-23 |
| 修稿时间： | 2005-05-23 |
Evolution numerical simulation method for optimizing boundary roof pillar in transition from open-pit mining to underground mining |
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| JIANG An-nan,CHEN Yong.Evolution numerical simulation method for optimizing boundary roof pillar in transition from open-pit mining to underground mining[J].Rock and Soil Mechanics,2007,28(4):774-778. |
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| Authors: | JIANG An-nan CHEN Yong |
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| Institution: | 1. College of Traffic and Logistics, Dalian Maritime University, Dalian 116026, China; 2. School of Resources &Civil Engineering, Northeastern University, Shenyang 110004, China; 3. The Fourth Institute of Nuclear Engineering, Shijiazhuang 050021, China |
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| Abstract: | Optimizing the boundary roof pillar in the transition from open-pit mining to underground mining is an important subject; this task including many decision variables and appraise indexes, so the methods given before can’t get the good result. This paper combining the genetic and 3D numerical simulation, the evolution numerical simulation method to globally optimize the boundary roof pillar is researched. The optimizing indexes and processes are given; the method has been used to optimize the boundary roof pillar in the transition from open-pit mining to underground mining of Daxingshan Iron Ore. And it is shown that the method is feasible. The scheme resulted by the method can guide the mining design for Daxingshan Iron Ore. |
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| Keywords: | transition from open-pit mining to underground mining boundary pillar evolution numerical simulation multiple objective optimization |
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