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金属矿山 ›› 2018, Vol. 47 ›› Issue (10): 31-35.

• 采矿工程 • 上一篇    下一篇

考虑多因素的一步矿房采场跨度优化

东龙宾1,王少泉1,张华2,周育1,何祥1   

  1. 1. 中冶北方(大连)工程技术有限公司,辽宁 大连 116000;2. 安徽马钢张庄矿业有限责任公司,安徽 六安 237400
  • 出版日期:2018-10-15 发布日期:2018-11-09
  • 基金资助:

    *:“十三五”国家重点研发计划项目(编号:2016YFC0801606)。

Optimization of Stope Span Parameters of One-step Mining with Consideration of Multi-factor

Dong Longbin 1,Wang Shaoquan1,Zhang Hua2,Zhou Yu1,He Xiang1,   

  1. 1.Northern Engineering & Technology Corporation of MCC, Dalian 116000 , China; 2.Anhui Magang Zhangzhuang Mining Co., Ltd., Liu’an 237400, China
  • Online:2018-10-15 Published:2018-11-09

摘要: 合理采场结构参数的确定是控制地压危害、实现矿体安全高效开采的重要措施之一。不同采场结构参数的优劣由多个指标判定,而各项参数的指标优劣趋势往往不统一。针对张庄铁矿的生产实际,通过FLAC3D数值模拟,获取能量释放率、屈服率以及顶板拉应力区率,结合胶结充填率,利用层次分析法和模糊综合评判法获取综合评价指标,对一步矿房采场跨度优劣进行评价,再利用遗传算法优化出最优的采场跨度,为非等宽采场结构参数的选择提供理论基础。研究成果和技术方法可以运用于其他采用充填法开采的大型深部金属矿山。

关键词: 采场跨度, 数值模拟, 层次分析法, 模糊综合评价, 遗传算法

Abstract: Determination of reasonable stope structure parameter is one of the important measures to control the ground pressure and realize the safe and efficient mining of orebody. The merits and demerits of different stope structure parameters are determined by a number of indicators, but the trend of the indicators are usually not unified. In view of the practical production in Zhangzhuang Iron Mine, and through the numerical simulation of FLAC3D, the energy release rate, the yield rate and the tensile rate of the roof were obtained. And combining with the cemented filling rate, the AHP and the fuzzy comprehensive evaluation method were adopted to obtain the comprehensive evaluation index and to evaluate the merits and demerits of the stope structure parameters. And then the genetic algorithm was used to gain the optimal stope structure parameters, which provides the theoretical basis for selection of unequal-width stope structure parameters. The research results and technical methods can be applied to other large-scale deep metal mine with backfilling.

Key words: Stope span, Numerical simulation, Analytic hierarchy process, Fuzzy comprehensive evaluation, Genetic algorith