Modified scaled distance regression analysis approach for prediction of blast-induced ground vibration in multi-hole blasting

作     者：Hemant Agrawal A.K.Mishra 

作者机构：Department of Mining Engineering Indian Institute of Technology (Indian School of Mines) 

出 版 物：《Journal of Rock Mechanics and Geotechnical Engineering》 (岩石力学与岩土工程学报（英文版）)

年 卷 期：2019年第11卷第1期

页      面：202-207页

核心收录：

学科分类：07[理学] 

主　　题：Peak particle velocity(PPV) Blast-induced ground vibration Scaled distance regression analysis Wave superimposition Single-hole blasting 

摘      要：The blast-induced ground vibration prediction using scaled distance regression analysis is one of the most popular methods employed by engineers for many decades. It uses the maximum charge per delay and distance of monitoring as the major factors for predicting the peak particle velocity(PPV). It is established that the PPV is caused by the maximum charge per delay which varies with the distance of monitoring and site geology. While conducting a production blasting, the waves induced by blasting of different holes interfere destructively with each other, which may result in higher PPV than the predicted value with scaled distance regression analysis. This phenomenon of interference/superimposition of waves is not considered while using scaled distance regression analysis. In this paper, an attempt has been made to compare the predicted values of blast-induced ground vibration using multi-hole trial blasting with single-hole blasting in an opencast coal mine under the same geological condition. Further,the modified prediction equation for the multi-hole trial blasting was obtained using single-hole regression analysis. The error between predicted and actual values of multi-hole blast-induced ground vibration was found to be reduced by 8.5%.