期刊名称：Canadian Journal on Computing in Mathematics, Natural Sciences, Engineering and Medicine
印刷版ISSN：1923-1660
出版年度：2010
卷号：1
期号：3
页码：106-111
出版社：AM Publishers Corporation Canada
摘要：Ground vibrations generated due to blasting operation in mining, quarrying and construction industries may result in the extension of hair like crack to ultimate collapse of nearby structures depending upon the intensity and duration of vibrations. In many years, all over the world various researchers have been trying to study different factors responsible for blast vibrations and suggest methods and measures for minimising the intensity of vibration. A number of models have been developed based on the data obtained from different fields. The present study deals with different models of vibration studies done so far and a case analysis has been undertaken to find out the parameters responsible for prediction of blast vibration in an opencast coal mine on the principle on “Least Square Method of Best Fit”. A Linear Regression Model has been developed to evaluate the Peak Particle Velocity (PPV) of the blast. The result of the model can be very useful for forecasting the ground vibration before blasting which has got significant contribution for designing various parameters in the controlled blasting techniques.
