基于GCRN的矿岩可爆性分级模型及其应用

为了准确反映岩体可爆性等级,构建了由弹性波阻抗、坚固性系数、平均裂隙距和标准爆破漏斗炸药单耗4个因素组成的评价体系,采用改进的灰色关联分析法对传统的岩体可爆性等级划分标准进行优化。利用灰色关联相对贴近度(GCRN)来反映各可爆性等级之间的差别,确定各可爆性等级对应的灰色关联相对贴近度区间,以此划分新的岩体可爆性等级。采用基于GCRN的矿岩可爆性分级模型对武钢资源集团公司程潮矿业有限公司东、西区矿体的可爆性级别进行评价,评价结果与实际情况基本一致,表明利用灰色关联相对贴近度来划分矿岩可爆性等级的方法是可行的。

GCRN-based model for classification of ore-bearing rock-mass blastability and its application

To classify the ore-bearing rock-mass blastability, an assessment index model was constructed which considers mainly four factors, i.e. elastic wave impedance, firmness coefficient, average fracture width, and explosive consumption of standard blasting craters. The improved grey relational analysis method was used to optimize the traditional standards for ore-bearing rock-mass blastability classification, and the grey correlative relative nearness (GCRN) was used to reflect the difference between blastability grades and determine the GCRN interval corresponding to each blastability grade, which was then employed to classify rock-mass blastability. The application of the proposed GCRN-based model in Chengchao Iron Mine shows that the model results of blastability classification of ore bodies in eastern and western sections accords basically with the engineering realities, suggesting that the proposed model is feasible.