灰色关联分析法在爆破震动监测中的应用

Application of grey correlation analysis in the detection of blasting vibration

以国内某大型露天矿山15组爆破设计参数和爆破震动测量数据为依据,基于灰色关联分析法理论基础,计算得出爆破特征变量震动速度、震动主频、震动时间与爆破设计参数最大单段药量、总药量、爆心距之间的灰色关联度,成功预测各参数对爆破震动影响的主次关系。该矿山爆破影响震动速度和震动时间的主要因素为爆心距,影响震动主频的主要因素为最大单段药量。预测结果可为该矿山今后控制爆破震动提供理论依据。

Based on 15 groups of blasting design parameters and blasting vibration data from a large-scale domestic open-pit mine and grey correlation analysis,the grey correlation degree between the blasting characteristics variables of vibration speed,vibration frequency and vibration time and the blasting design parameters of maximum single section charge,total charge and distance to blasting center is calculated,and the primary and secondary effects that each parameter has on blasting vibration are successfully predicted. The main factor that affects the vibration speed and vibration time is the distance to blasting center,and the main factor that affects the vibration frequency is maximum single section charge. The study provides theoretical basis for mines to control blasting vibration.