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黄金科学技术 ›› 2023, Vol. 31 ›› Issue (6): 900-910.doi: 10.11872/j.issn.1005-2518.2023.06.087

• 采选技术与矿山管理 • 上一篇    下一篇

基于RG-BN理论的破碎盘区矿柱群稳定性分析

高峰1(),李成成1(),覃庆韩2,欧恩国2   

  1. 1.中南大学资源与安全工程学院,湖南 长沙 410083
    2.广西华锡矿业有限公司铜坑矿业分公司,广西 河池 547205
  • 收稿日期:2023-06-08 修回日期:2023-10-24 出版日期:2023-12-31 发布日期:2024-01-26
  • 通讯作者: 李成成 E-mail:csugaofeng@csu.edu.cn;1095100291@qq.com
  • 作者简介:高峰(1981-),男,湖南怀化人,博士,副教授,从事矿山开采、灾害机理与防治等方面的研究工作。csugaofeng@csu.edu.cn
  • 基金资助:
    广西重点研发计划项目“深部厚大矿体中深孔落矿集约化采矿技术研究”(2023AB01130)

Stability Analysis of Broken Ore Pillars Group Based on RG-BN Theory

Feng GAO1(),Chengcheng LI1(),Qinghan QIN2,Enguo OU2   

  1. 1.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
    2.Guangxi Huaxi Mining Co. , Ltd. , Tongkeng Mining Branch, Hechi 547205, Guangxi, China
  • Received:2023-06-08 Revised:2023-10-24 Online:2023-12-31 Published:2024-01-26
  • Contact: Chengcheng LI E-mail:csugaofeng@csu.edu.cn;1095100291@qq.com

摘要:

为了准确获取矿柱群稳定性情况,通过分析矿柱群失稳机理,基于重整化群理论和贝叶斯网络建立矿柱群稳定性分析模型。以铜坑矿92号矿体矿柱群为研究对象,运用多项逻辑回归模型推导单个矿柱的失稳概率计算公式,将单个矿柱失稳概率输入贝叶斯网络得到矿柱群失稳概率。通过与二维重整化群模型得到的矿柱群临界失稳概率进行比对来分析矿柱群稳定性情况。研究结果表明:该方法能得到较为准确的矿柱群失稳概率,且通过贝叶斯网络概率反演,对矿柱进行敏感性分析可以获得矿柱群最安全回采顺序。

关键词: 矿柱群, 重整化群, 贝叶斯网络, 失稳概率计算, 敏感性分析, 矿柱回采优化

Abstract:

After mining operations,a large number of broken ore pillars will be left behind,forming a group of ore pillars.The group of ore pillars is of great significance for safe underground operations and the recovery of ore pillars resources.Under the influence of high ground stress,geological weak surface structure,free face generation,blasting vibration and other factors,the ore pillars group is very prone to instability,collapse,resulting in disaster of a large area of instability ore pillars group,thus causing great harm to underground workers and equipment.In order to strengthen the safety control of the mine pillars group,the stability analysis was carried out based on the renormalization group theory and Bayesian network.The renormalization group is a scaling transformation group.The self-similarity transformation of the basic unit can be used to describe the whole system,which is similar to the process in which the instability of a single pillar ultimately leads to the instability of the pillars group.Bayesian network can also overcome the uncertainty in the process of the instability of the pillars group.Therefore,based on the renormalization group theory and Bayesian network,the stability analysis model of pillars group was established.A pillars group in Tongkeng mine was taking as the research object.Firstly,the critical instability probability of the pillars group was derived based on the two-dimensional renormalization group model.Secondly,the multiple logistic regression model was used to deduce the calculation formula of the instability probability of a single pillar,then the stability,instability and instability probability of the pillar was calculated,and the stability probability of a single pillar was input into the Bayesian network to obtain the instability probability of the pillars group.Finally,by comparing with the critical instability probability of the pillars group obtained from the two-dimensional renormalization group model,the stability group of the pillars group was obtained.The research results show that this method can more accurately obtain the instability probability of the ore pillars group,and by defining the stability probability of a single ore pillar to carry out Bayesian network probability inversion and sensitivity analysis on the ore pillars,can design the optimal mining route of the ore pillars,and achieve safe,efficient and low loss recovery of pillars resources in the panel.This method can also provide reference for stability analysis and pillars resource recovery of similar mine pillar groups.

Key words: pillars group, renormalization group, Bayesian network, calculation of instability probability, sensitivity analysis, pillar recovery optimization

中图分类号: 

  • TD73

图1

矿柱群失稳“多米诺效应”"

图2

矿柱群失稳贝叶斯网络模型"

图3

基于RG-BN理论的破碎盘区矿柱群稳定性分析流程"

图4

矿柱群二维重整化群模型"

图5

Pn与Pn-1的RG映射曲线"

图6

矿柱群待回采区域矿柱布局"

表1

矿柱形态和岩石力学参数"

矿柱编号矿柱长度l/m矿柱宽度b /m矿柱高度h /m岩石单轴抗压强度σc/MPa上覆岩层厚度H /m密度ρ/(kg· m-3
T209-210801156166.322562 660
T210-2118014.555155.882552 620
T211-212802156164.782672 600
T212-213802195157.582472 660
T111-112801584142.112592 690
T115-S1802690148.852602 660
T313-314701458151.352542 660
T501-502701362147.322482 606
T502-5037014.669145.322642 670
1号间柱1652061141.242492 606
2号间柱3372559154.592522 660
3号间柱1122057168.892442 600

表2

单个矿柱稳定性概率分布"

矿柱编号b/hσP/σR?Ps?/%Pu?/%Pf?/%
T209-2100.1960.11261.21936.4292.351
T210-2110.2640.13954.05142.4883.461
T211-2120.3750.16948.78846.6534.560
T212-2130.2210.16338.66654.4836.851
T111-1120.1790.15837.84155.1347.025
T115-S10.2890.20425.56062.29112.149
T313-3140.2410.14947.02848.1944.778
T501-5020.2100.14447.08448.1884.728
T502-5030.2160.16536.78855.8077.405
1号间柱0.3280.12465.85132.2831.867
2号间柱0.4240.09183.28316.2400.477
3号间柱0.3510.12467.81230.5231.664

图7

矿柱群失稳BN模型"

图8

首次回采敏感性分析BN模型"

图9

二次回采敏感性分析BN模型"

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