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The comparison of most widely used ground vibration predictor equations and suggestions for the new attenuation formulas

机译:最广泛使用的地面振动预测器方程式的比较以及对新衰减公式的建议

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Blast-produced ground vibrations is one of the fundamental problems in mining industry as well as construction operations. Therefore, the prediction of ground vibration components is very important in the minimization of blast related complaints. This paper presents the results of simple and multiple linear regression analyses for the comparison of the most widely used peak particle velocity prediction equations. For this purpose, the results of blast-induced ground vibration measurements by different authors with the measurements conducted within this study were taken into account together. In the statistical analyses, a total of 247 regression models were analysed by using a statistical software. Then, the site-specific constants were determined by the regression analyses of scaled distance and peak particle velocity data pairs according to different approaches and considered cases were evaluated statistically. By evaluating the statistical results, a new prediction equation based on scaled distance concepts was proposed. In addition, new attenuation formulas were proposed for the determination of the site-specific constants. The analyses have shown that if scaled distance concept itself is used for inelastic attenuation factor to predict PPV, the highest values of coefficient of determination are obtained.
机译:爆炸产生的地面振动是采矿业以及建筑业的基本问题之一。因此,对地面振动分量的预测对于最大程度地减少与爆炸有关的投诉非常重要。本文介绍了简单和多重线性回归分析的结果,用于比较最广泛使用的峰值粒子速度预测方程。为此,将不同作者在本研究中进行的爆破引起的地面振动测量结果一起考虑在内。在统计分析中,使用统计软件对总共247个回归模型进行了分析。然后,通过根据不同方法对比例距离和峰值粒子速度数据对进行回归分析,确定位点常数,并对所考虑的情况进行统计学评估。通过评估统计结果,提出了一种基于比例距离概念的新预测方程。另外,提出了新的衰减公式来确定位点常数。分析表明,如果将比例距离概念本身用于非弹性衰减因子来预测PPV,则可以获得最高的确定系数值。

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