Empirical and Statistical Models for Predicting Blast Induced Ground Vibration due to Tunnel Construction
One of the major environmental impacts related to blasting operation in tunnelconstruction is ground vibration. The elastic energy which is at a level less than the energy requiredto break the rock, increases the ground vibration. Ground vibration is a matter of great concern as itmay cause damage to the existing adjacent structures depending upon the intensity and duration ofvibration. The present study reviews the empirical and statistical vibration prediction models to findout the parameters responsible for prediction of blast vibration in tunnel construction. An attempt hasbeen made to propose a new blast vibration predictor to calculate the safe charge per delay moreprecisely. Linear Regression Model as well as Multi-Variable Regression analysis has beendeveloped to predict the Peak Particle Velocity (PPV) of the blast. A large number of blast data werecollected and compiled from blasting of two Second Avenue Subway station caverns in New YorkCity, to evaluate the precision and applicability of the existing and proposed predictor equations. Theresults presented in this paper can be used in predicting the blast induced ground vibration and indefining different parameters of controlled blasting techniques.