首页> 外文期刊>Journal of the Institution of Engineers (India), Series D. Metallurgical & Materials Engineering.Mining Engineering >Comparison of Some Blast Vibration Predictors for Blasting in Underground Drifts and Some Observations
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Comparison of Some Blast Vibration Predictors for Blasting in Underground Drifts and Some Observations

机译:地下漂移中爆破的一些爆炸振动预测的比较及一些观察

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Drilling and blasting are the most economical excavation techniques in underground drifts driven through hard rock formation. Burn cut is the most popular drill pattern, used in this case, to achieve longer advance per blast round. The ground vibration generated due to the propagation of blast waves on the detonation of explosive during blasting is the principal cause for structural and rock damage. Thus, ground vibration is a point of concern for the blasting engineers. The ground vibration from a blast is measured using a seismograph placed at the blast monitoring station. The measured vibrations, in terms of peak particle velocity, are related to the maximum charge detonated at one instant and the distance of seismograph from the blast point. The ground vibrations from a number of blast rounds of varying charge/delay and distances are monitored. A number of scaling factors of these dependencies (viz. Distance and maximum charge/delay) have been proposed by different researchers, namely, square root, cube root, CMRI, Langefors and Kihlstrom, Ghosh-Daemon, Indian standard etc. Scaling factors of desired type are computed for all the measured blast rounds. Regression analysis is carried out between the scaling factors and peak particle velocities to establish the coefficients of the vibration predictor equation. Then, the developed predictor equation is used for designing the blast henceforth. Director General of Mine Safety, India, specified that ground vibrations from eight to ten blast rounds of varying charge/ delay and distances should be monitored to develop a predictor equation; however, there is no guideline about thetype of scaling factor to be used. Further to this, from the statistical point of view, a regression analysis on a small sample population cannot be accepted without the testing of hypothesis. To show the importance of the above, in this paper, seven scaling factors are considered for blast data set of a hard-rock underground drift using burn-cut blast design. The possible step by step approach to establish a vibration predictor equation is also proposed.
机译:钻孔和爆破是通过硬岩形成驱动的地下漂移中最经济的挖掘技术。烧伤是在这种情况下使用的最受欢迎的钻孔图案,以实现每个爆破的更长的前进。由于爆破期间爆炸爆炸的爆炸波引起的地面振动是结构和岩石损伤的主要原因。因此,地面振动是爆破工程师的关注点。使用爆炸监测站的地震仪测量爆炸的地面振动。在峰值粒子速度方面,测量的振动与在一个瞬间爆炸的最大电荷和从爆炸点的地震仪的距离有关。监测来自多个电荷/延迟和距离的多个爆炸轮的地面振动。不同的研究人员,即平方根,立方根,CMRI,Langefors和Kihlstrom,Ghosh-Daemon,印度标准等,已经提出了许多缩放因子(距离和最大充电/延迟)。扩大因素为所有测量的BLAST轮计算所需类型。在缩放因子和峰值粒子速度之间进行回归分析,以确定振动预测器方程的系数。然后,开发的预测器方程用于设计爆炸之后的爆炸。印度矿井安全总干事指定,应监测从8至10次不同充电/延迟和距离的地面振​​动,以开发预测方程;但是,没有关于要使用的缩放因子的Qoype的指导。此外,从统计观点来看,在没有假设的测试的情况下,不能接受对小样本群体的回归分析。为了表明上述重要性,在本文中,使用燃烧爆炸设计考虑了七种爆炸数据集的七种缩放因子。还提出了建立振动预测器方程的步骤方法的可能一步。

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