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作 者:李鹏程 刘海林 孙丽军[1,2] 王莹 吴少彬[3] LI Pengcheng;LIU Hailin;SUN Lijun;WANG Ying;WU Shaobin(Sinosteel Maanshan General Institute of Mining Research Institute Co.,Ltd.;State Key Laboratory of Metal Mine Safety and Health;Anhui Shancheng Mining Co.,Ltd.)
机构地区:[1]中钢集团马鞍山矿山研究总院股份有限公司,安徽省马鞍山市243000 [2]金属矿山安全与健康国家重点实验室 [3]安徽山城矿业有限公司
出 处:《现代矿业》2022年第6期123-127,共5页Modern Mining
摘 要:岩层移动角的准确预测是金属矿山圈定地表移动范围和建(构)筑物保护区的重要依据,直接影响矿山的经济效益和安全生产。采用简单易算的SVM算法建立了金属矿山岩层移动角预测模型,选取围岩普氏系数、地质构造特征、地下水影响、开采深度、矿体走向长度、开采厚度、矿体倾角7个影响因素作为模型输入端,岩层移动角为模型的输出端,统计39组国内外金属矿山充填法开采岩层移动角实测数据作为训练样本。应用该模型预测了黄竹园铜银矿充填法开采岩层移动参数,圈定了矿区铁路保安矿柱范围,并采用数值模拟方法模拟了保安矿柱以外的矿体开采对地表铁路路基的影响。结果表明,在基于SVM算法预测的岩层移动角数据基础之上,地表铁路安全性较好。Accurate prediction of strata movement angle is an important basis for delimiting the scope of surface movement and building(structure)protection area in metal mines,which directly affects the economic benefits and safety production of mines.A simple SVM algorithm is used to establish a prediction model of rock movement angle in metal mines.Seven influencing factors,including the coefficient of surrounding rock,geological structure characteristics,groundwater influence,mining depth,orebody strike length,mining thickness and orebody dip angle,are selected as the input of the model,and the rock strata movement angle is the output of the model.Statistical 39 groups of domestic and foreign metal mine filling method mining strata movement angle measured data as training samples.The model was applied to predict the rock movement parameters of Huangzhuyuan copper-silver mine by filling method,and the range of railway security pillar in the mining area was delineated.The influence of ore body mining outside the security pillar on the surface railway subgrade was simulated by numerical simulation.The results show that the surface railway has good safety on the basis of the strata movement angle data predicted by SVM algorithm.
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