矿产保护与利用2024，Vol.44Issue(2)：58-66,9.DOI:10.13779/j.cnki.issn1001-0076.2024.02.008
基于Bayes算法与数值模拟的缓倾斜破碎薄矿体采矿方法优选
Optimization of Mining Method for Gently Inclined Broken Thin Vein Based on Bayes Algorithm and Numerical Simulation
摘要
Abstract
To achieve safe,efficient,and economically viable mining of a manganese mine with a fractured,low-grade,gently sloping,thin ore body,five technically feasible mining methods were first designed based on the mining conditions.Subsequently,a mining method optimization was conducted,utilizing a system established on Bayes and Monte Carlo methods,encompassing 17 evaluation criteria covering both technical and economic aspects.The research findings indicated that the comprehensive scores of the shallow hole approach V-cut retreat/advance mining method,the medium-deep hole approach V-cut/parallel throw mining method,and the shallow hole drill head oblique cut mining method were 0.524,0.193,0.214,0.228,and 0.221,respectively.The shallow hole approach V-cut retreat mining method was found to be the most optimal.Finally,MIDAS numerical simulation was employed to analyze the stability of four different span stops of the selected mining methods.A span of 12 meters was found to achieve a favorable balance between stope stability and ore recovery rate.Considering technical,economic,and safety indicators,the optimization approach for mining methods and stope structural parameters can assist in selecting a safe and efficient mining scheme for the mine,and can also serve as a reference for similar mines to improve their operations.关键词
缓倾斜薄矿体/顶板破碎/采矿方法/设计与优选/数值模拟/采场跨度Key words
gentle dip thin vein/broken roof/mining method/design and optimization/numerical simulation/stope span分类
矿业与冶金引用本文复制引用
王小林,李泽琛,郭进平,刘亚雄,芦永利,卢皎旭,卢才武,顾清华..基于Bayes算法与数值模拟的缓倾斜破碎薄矿体采矿方法优选[J].矿产保护与利用,2024,44(2):58-66,9.基金项目
国家自然科学基金面上项目(51974223) （51974223）
国家资助博士后研究人员计划(GZC20232063) （GZC20232063）
陕西省博士后科研项目(2023BSHYDZZ142) （2023BSHYDZZ142）
陕西省自然科学基金项目(2024JC-YBQN-0507) （2024JC-YBQN-0507）
陕西省创新能力支撑计划(2023-CX-TD-12) （2023-CX-TD-12）
