A hybrid paretosearch algorithm and goal attainment method for maximizing production and reducing blast-induced ground vibration: a blast design parameter selection approach

Clement Kweku Arthur, R. Kaunda
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引用次数: 1

Abstract

ABSTRACT This study uses a hybrid paretosearch algorithm and goal attainment method to determine blast design parameters that will maximize production (total blasted volume) and minimize blast-induced ground vibration. Fifty-five (51) blast data collected at Quarry X in the Western US are used. A nonlinear and linear regression models are developed to serve as the objective function for the minimization of blast-induced ground vibration and maximization of production respectively. The blast design parameters are then determined using the hybrid optimization technique. The results obtained show that hole depths of 11.58 m, burden of 4.24 m, spacing of 4.88 m and stemming length of 3.61 m are the blast design parameter values that produce a minimum PPV within the interval of 0.51 and 38.1 mm/sec as stated in the Explosive regulation by the Colorado State Division of Oil and Public Safety for a total blast volume greater than 16,622 m3.
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一种产量最大化和减少爆破诱发地面振动的混合paretosearch算法和目标实现方法:一种爆破设计参数选择方法
本研究使用混合paretosearch算法和目标实现方法来确定爆破设计参数,以最大限度地提高产量(总爆破量)并最大限度地减少爆炸引起的地面振动。使用了在美国西部采石场X收集的55(51)个爆炸数据。建立了非线性回归模型和线性回归模型,分别作为爆破诱发地面振动最小化和生产最大化的目标函数。然后利用混合优化技术确定了爆破设计参数。结果表明,当总爆破量大于16622 m3时,在0.51 ~ 38.1 mm/sec范围内,孔深11.58 m、炉料4.24 m、间距4.88 m、堵管长度3.61 m是产生最小PPV的爆破设计参数值。
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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
5
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