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。
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.
作者
高峰
李成成
覃庆韩
欧恩国
GAO Feng;LI Chengcheng;QIN Qinghan;OU Enguo(School of Resources and Safety Engineering,Central South University,Changsha 410083,Hunan,China;Guangxi Huaxi Mining Co.,Ltd.,Tongkeng Mining Branch,Hechi 547205,Guangxi,China)
出处
《黄金科学技术》
CSCD
2023年第6期900-910,共11页
Gold Science and Technology
基金
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”(编号:2023AB01130)资助。
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
pillars group
renormalization group
Bayesian network
calculation of instability probability
sensitivity analysis
pillar recovery optimization
