Signal processing computation based seismic energy estimation of blast induced ground vibration waves

V. Sastry, G. R. Chandra
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引用次数: 3

Abstract

Study of ground vibrations resulted from blasting operations in mines and quarries is significant ecological aspect. In general, very lesser amount of explosive energy will be utilized in blasting process for breakage and creation of fragmentation, however the remaining will be squandered in the form of shock waves. Shock waves resulted from blasting operations cannot be entirely abolished, nonetheless can be lessened to the extent possible using an appropriate blasting methodology. Substantial work has been performed to detect ground vibrations for assessing the blast performance using the intensity of ground vibrations. Nevertheless, not much research has carried in the estimation of seismic energy and utilizing this energy for assessing the performance of blast rounds. In this paper, a Signal Processing based technique for the estimation of seismic energy dissipated at various distances is proposed. In total, 116 blast vibration events from Limestone Mines, 96 blast vibration events from Underground Coal Mine and 43 blast vibration events from Sandstone Mines were collected and respective signal processing analysis was carried out using Advanced Blastware and DADiSP software. Each vibration event in one direction carries about 2500 particle motion samples.
基于信号处理计算的爆炸诱发地震动波地震能量估计
矿山采石场爆破引起的地面振动研究是一个重要的生态学研究课题。一般来说,爆破过程中用于破碎和产生破片的爆炸能量非常少,而剩余的爆炸能量将以冲击波的形式浪费掉。爆破作业产生的冲击波不能完全消除,但可以使用适当的爆破方法尽可能减少。为了利用地面振动强度来评估爆炸性能,已经进行了大量的地面振动检测工作。然而,在地震能量的估算和利用地震能量评价爆炸弹性能方面的研究还不多。本文提出了一种基于信号处理的地震能量估计方法。利用Advanced Blastware和DADiSP软件,共采集石灰石矿116个爆炸振动事件、地下煤矿96个爆炸振动事件和砂岩矿43个爆炸振动事件,分别进行信号处理分析。一个方向上的每个振动事件携带约2500个粒子运动样本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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