摘要
在分析影响岩体可爆性因素的基础上,选择岩体坚固性系数、声阻抗、炸药消耗量、平均裂隙距作为岩体可爆性分级评判指标,建立岩体可爆性分级的投影寻踪综合评价模型,利用人工鱼群算法优化其投影方向,根据投影特征指标值对岩体可爆性进行分级评价,并将其应用于某矿山岩体可爆性分级。评价结果表明,该评价模型可以避免主观因素对权重确定的影响,评价结果客观准确,为岩体可爆性综合判别提供了一种新的方法。
From analyzing on the influencing factor of rock blastability, the rock hardness coefficient, acoustic impedance, explosive specific charge and average fissure length were chosen as the evaluation index to establish the comprehensive evaluation model of projection pursuit. The project direction was optimized by the Artificial Fish - swarm Algorithm, and applied to evaluate the rock blastability in a mine. The results show that this model can avoid the influence of subjective to weight coefficient and the result is accurate and objective. It put forward a new evalua- tion method to rock blastability.
出处
《爆破》
CSCD
北大核心
2009年第3期14-17,共4页
Blasting
基金
中国-新加坡国际合作项目<地下岩洞爆炸损伤的模型试验研究>
广西自然科学基金(桂科自0728037)
关键词
投影寻踪
人工鱼群算法
岩体
可爆性
分级
projection pursuit
Artificial Fish - Swarm Algorithm
rock
blastability
classification
