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中深孔崩矿阶段嗣后充填法采场结构参数优化

兰明 刘志祥 李夕兵 刘强

中南大学学报(自然科学版)2018,Vol.49Issue(4):933-939,7.
中南大学学报(自然科学版)2018,Vol.49Issue(4):933-939,7.DOI:10.11817/j.issn.1672-7207.2018.04.022

中深孔崩矿阶段嗣后充填法采场结构参数优化

Stope parameters optimization of level afterwards back-filling approach with medium-deep hole caving

兰明 1刘志祥 1李夕兵 1刘强1

作者信息

  • 1. 中南大学资源与安全工程学院,湖南长沙,410083
  • 折叠

摘要

Abstract

In order to obtain the rational stope structure parameters and realize safe and efficient mining of level afterwards back-filling approach with medium-deep hole caving in Wangershan Gold mine. The changing relationship between stress and thickness of roof under different spans was analyzed by using the thin elastic theory, the rational range of excavating was determined. Combined with the actual mining condition, through the central composite test design, mechanical responses under different structural parameters were obtained by numerical simulation. Based on the second order response surface method, the regression models of the maximum tensile stress, the maximum compressive stress and the maximum vertical displacement were established and regarded as objective functions, the Pareto optimal solution set was obtained by genetic algorithm multi-objective optimization. The results show that according to engineering needs, the optimal parameters are as follows: the chamber span is 26.0 m, the pillar span is 28.0 m, and the roof thickness is 6.7 m.

关键词

采场结构参数/数值分析/响应面法/遗传算法/多目标优化

Key words

stope structure parameters/numerical analysis/response surface method/genetic algorithm/multi-objective optimization

分类

矿业与冶金

引用本文复制引用

兰明,刘志祥,李夕兵,刘强..中深孔崩矿阶段嗣后充填法采场结构参数优化[J].中南大学学报(自然科学版),2018,49(4):933-939,7.

基金项目

国家自然科学基金重点资助项目(41630642) (41630642)

国家自然科学基金资助项目(51674288) (51674288)

湖南省研究生科研创新项目(CX2016B052)(Project(41630642) supported by the Key Program of the National Natural Science Foundation of China (CX2016B052)

Project(51674288) supported by the National Natural Science Foundation of China (51674288)

Project(CX2016B052) supported by the Graduated Student Research Innovation Fund of Hunan Province) (CX2016B052)

中南大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1672-7207

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