摘要
为了弥补矿岩可爆性分级在工程应用中的不足,利用AHP-TOPSIS法建立综合评价模型。选取矿岩容重γ、波阻抗K、普氏系数f、平均裂隙距d、炸药单耗q作为可爆性评价指标,采用灰色关联分析方法确定各指标的重要性程度,运用AHP法获得各指标权重W,进而获得了TOPSIS法的各指标的贴近度值C+,得到矿岩可爆性分级结果为S_1=0,S_2=12.68%,S_3=27.32%,S_4=41.57%,S_5=57.47%,S_6=83.41%,S_7=1。将该模型运用于利比里亚邦州邦矿铁矿工程实践,结果表明:对不同岩性矿区进行可爆性分级,针对不同可爆性等级的矿区采用不同的爆破设计参数,降低了矿石大块率,取得了较好的经济效益。
In order to make up for the deficiency of blastability classification of the ore-bearing rock mass in en- gineering appfieation,the AHP-TOPSIS method was employed to establish a comprehensive evaluation model 5 eval- uation parameters, the ore-bearing rock density γ, the wave impedance K, the Protodyakonov coefficient f, the average crack spacing d and the specific charge q, were selected as the evaluation indexes of blastability classification. The gray correlation analysis was adopted to quantify the importance of the 5 indexes. Moreover,the AHP method was ap- plied to assign the weights, and the TOPSIS method was employed to calculate the close degree C+. Through the a- bove mentioned analysis ,the results of blastability classification were given as, S1 = 0, S2 = 12.68%, S3 = 27.32%, S4 = 41.57% ,S5 = 57.47%,S6 = 83.41% ,S7 = 1. In this paper, the method was applied to the mining Engineering of Iron Mine in Liberia. Result shows that the blastability classification for mining areas with different lithological characters and the employment of different blasting design parameters for different blastability grades reduce the blas- ting boulder yield and achieve good economy.
出处
《爆破》
CSCD
北大核心
2017年第4期80-84,105,共6页
Blasting
基金
国家自然科学基金(41672260)
湖北省科技厅自然基金重点基金项目(2013CFA110)
关键词
矿岩可爆性
层次分析法
逼近理想解排序法
岩石试验
ore-bearing rock
analytic hierarchy process
technique for order preference by similarity to idealsolution
rock testing