摘要
为了准确预测地下金属矿的岩爆情况,建立了AHP和熵权TOPSIS模型。运用AHP和熵权法的基本原理,从岩性条件、应力条件和围岩条件3个方面选取预测指标,最终确定的指标为岩石的单轴抗压强度σc、压拉比σc/σt、弹性变形指数Wet、切应力与单轴抗压强度的比值σθ/σc和完整性系数Kv,分别为各预测指标分配合理的权重。然后,运用TOPSIS的基本原理,结合AHP和熵权法得到的权重来计算各岩爆等级临界值和实际矿山数据的贴近度,通过对比这2个贴近度来预测岩爆是否发生。实例研究表明:所建模型得到的预测结果与工程实际情况相一致,因此认为AHP和熵权TOPSIS模型可用于准确预测地下矿山的岩爆问题。
To accurately predict the rockburst of underground metal mine,a AHP and entropy weight TOPSIS model was established.The predictors of rockburst were selected from lithological,stress and rock conditions,the weight of uniaxial compressive strengthσc,the rate of rock’s compressive tensile strengthσc/σt,the elastic energy index of rock Wet,the stress coefficient of rockσθ/σc and integrality coefficient Kv were calculated as the predictors of rockburst by AHP and entropy weight method.Then the closeness of rockburst levels’critical values and realistic mines’data were calculated by TOPSIS,combined with the weight calculated by AHP and entropy weight method.The occurrence of rockburst was predicted by comparing these two closenesses.Case study shows the predicted result of the established model is consistent well with the practical engineering,so the AHP and entropy weight TOPSIS model can be used to predict rockburst of underground metal mine accurately.
作者
卢富然
陈建宏
LU Furan;CHEN Jianhong(School of Resources and Safety Engineering,Central South University,Changsha 410083,Hunan,China)
出处
《黄金科学技术》
CSCD
2018年第3期365-371,共7页
Gold Science and Technology
基金
国家自然科学基金项目"地下金属矿采掘计划可视化优化方法与技术研究"(编号:51374242)
国家自然科学基金青年基金项目"基于人工智能的矿山技术经济指标动态优化研究"(编号:51404305)联合资助
关键词
层次分析法
熵权法
逼近理想解排序法
岩爆
预测指标
权重分配
金属矿山
深部开采
analytic hierarchy process
entropy weight method
technique for order preference by similarity to ideal solution
rockburst
prediction index
weight allocation
metal mine
deep mining