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Blast-induced ground vibration prediction using support vector machine

机译:基于支持向量机的爆炸诱发地面振动预测

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Ground vibrations induced by blasting are one of the fundamental problems in the mining industry and may cause severe damage to structures and plants nearby. Therefore, a vibration control study plays an important role in the minimization of environmental effects of blasting in mines. In this paper, an attempt has been made to predict the peak particle velocity using support vector machine (SVM) by taking into consideration of maximum charge per delay and distance between blast face to monitoring point. To investigate the suitability of this approach, the predictions by SVM have been compared with conventional vibration predictor equations. Coefficient of determination (CoD) and mean absolute error were taken as a performance measure.
机译:爆破引起的地面振动是采矿业的基本问题之一,可能会严重破坏附近的建筑物和厂房。因此,振动控制研究在使矿山爆破对环境的影响最小化方面起着重要作用。在本文中,已尝试通过使用支持向量机(SVM)来预测峰值粒子速度,方法是考虑到每个延迟的最大电荷和爆破面到监测点之间的距离。为了研究这种方法的适用性,将SVM的预测与常规的振动预测器方程进行了比较。测定系数(CoD)和平均绝对误差作为性能指标。

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