基于熵权-理想点的采矿方法优选及采场稳定性研究
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摘要
为解决盛大铁矿开采技术难题,在实现矿山高效安全经济开采的前提下,提出一种熵权-理想点综合评判指标体系模型,对矿山初选的5种采矿方案进行计算。首先利用熵权理论确定影响采矿方法的各评价指标的熵权系数,然后结合逼近理想解的排序法原理建立熵权-理想点综合评价指标体系模型,从而计算出各方案基于评判指标的贴近度。结果显示,5种初选方案的贴近度分别为70.3%,44.2%,64.8%,61.1%,46.3%,第一种方案即分段接力退采分段充填采矿法为最优。同时对采场进行数值模拟,对运用优选出的采矿方法时采场的应力、位移以及塑性区进行计算,并将计算结果与现场实测数据进行对比,得出采场岩体在充填后,应力位移增加较缓慢。并在盛大铁矿矿区-175~-162.5 m分段进行工业试验,取得显著经济效益,具有重要工程实际意义。
Aiming at the mining difficulty in Shengda Iron Mine,a kind of comprehensive evaluation index system model consisting of entropy weight and ideal point was put forward to evaluate five kinds of mining methods on the premise of ensuring high-efficient,safe and economic mining. Firstly,the entropy theory was used to determine the entropy weight coefficient that would bring impact on each index of mining method. Then,a comprehensive evaluation index system model of entropy weight-ideal point was established. A close degree was consequently obtained for 5 mining methods,that is 70.3%,44. 2%,64. 8%,61. 1%,46. 3%,respectively,indicating the first mining method(section resection stoping and stowing mining method) is the optimum for the mine. Furthermore,the numerical simulation was carried out for the stope,and the stress,displacement and plastic zone of the stope using the above optimum mining method were calculated. Based on the comparison between the calculated value and the on-site practical measured data,it is found that both the stress and displacement of the stope rockmass increased slowly after backfill. The following industrial experiment at the level of-175 ~-162.5 m of Shengda Iron Mine with such method also brought remarkable economic benefits to the mine,indicating its practical significance for engineering project.
Aiming at the mining difficulty in Shengda Iron Mine,a kind of comprehensive evaluation index system model consisting of entropy weight and ideal point was put forward to evaluate five kinds of mining methods on the premise of ensuring high-efficient,safe and economic mining. Firstly,the entropy theory was used to determine the entropy weight coefficient that would bring impact on each index of mining method. Then,a comprehensive evaluation index system model of entropy weight-ideal point was established. A close degree was consequently obtained for 5 mining methods,that is 70.3%,44. 2%,64. 8%,61. 1%,46. 3%,respectively,indicating the first mining method(section resection stoping and stowing mining method) is the optimum for the mine. Furthermore,the numerical simulation was carried out for the stope,and the stress,displacement and plastic zone of the stope using the above optimum mining method were calculated. Based on the comparison between the calculated value and the on-site practical measured data,it is found that both the stress and displacement of the stope rockmass increased slowly after backfill. The following industrial experiment at the level of-175 ~-162.5 m of Shengda Iron Mine with such method also brought remarkable economic benefits to the mine,indicating its practical significance for engineering project.
引文
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[12]杜坤,李夕兵,周健,等.采矿方案优选的熵模糊物元决策模型[J].矿冶工程,2010(5):12-17.
[13]王新民,秦健春,张钦礼,等.基于AHP-TOPSIS评判模型的姑山驻留矿采矿方法优选[J].中南大学学报(自然科学版),2013(3):1131-1137.
[14]Liu Zhi-Xiang,Dang Wen-Gang,He Xian-Qun,et al.Cancelling ore pillars in large-scale coastal gold deposit:A case study in Sanshandao gold mine,China[J].Transactions of Nonferrous Metals Society of China,2013(10):3046-3054.
[15]刘志祥,孙晶晶,唐志祥.滨海金属矿床海水涌入危险性等级评价模型及应用[J].矿冶工程,2015,35(1):6-9.
[2]王新民,赵彬,张钦礼.基于层次分析和模糊数学的采矿方法选择[J].中南大学学报(自然科学版),2008(5):875-880.
[3]刘虎生.基于BP神经网络的矿井通风系统安全评价研究[J].山西煤炭,2008(1):39-41.
[4]谷新建,柴红保.应用突变评价理论选择采矿方法[J].中国安全科学学报,2004(7):16-18.
[5]尹利平,刘金海,朱卓会.基于逼近理想解排序的采矿方法选择[J].矿冶工程,2010(3):12-15.
[6]于德海,彭建兵.地下工程围岩分类的神经网络可视化评价[J].中国地质灾害与防治学报,2005(4):120-123.
[7]王迎超,尚岳全,孙红月,等.基于熵权-理想点法的岩爆烈度预测模型及其应用[J].煤炭学报,2010(2):218-221.
[8]刘志祥,吴蝶媚,唐志祥.基于熵权属性识别模型的岩体质量分级[J].科技导报,2014,32(22):52-56.
[9]史秀志,周健.隧道围岩分级判别的未确知均值聚类模型[J].土木建筑与环境工程,2009(2):62-67.
[10]薛剑光,周健,史秀志,等.基于熵权属性识别模型的岩体可爆性分级评价[J].中南大学学报(自然科学版),2010(1):251-256.
[11]邓红卫,胡普仑,杨念哥,等.基于组合赋权TOPSIS的采矿方法优选[J].广西大学学报(自然科学版),2012(5):990-996.
[12]杜坤,李夕兵,周健,等.采矿方案优选的熵模糊物元决策模型[J].矿冶工程,2010(5):12-17.
[13]王新民,秦健春,张钦礼,等.基于AHP-TOPSIS评判模型的姑山驻留矿采矿方法优选[J].中南大学学报(自然科学版),2013(3):1131-1137.
[14]Liu Zhi-Xiang,Dang Wen-Gang,He Xian-Qun,et al.Cancelling ore pillars in large-scale coastal gold deposit:A case study in Sanshandao gold mine,China[J].Transactions of Nonferrous Metals Society of China,2013(10):3046-3054.
[15]刘志祥,孙晶晶,唐志祥.滨海金属矿床海水涌入危险性等级评价模型及应用[J].矿冶工程,2015,35(1):6-9.
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