Abstract
Blasting is a majormechanism of rock fragmentation. Explosive usage creates ground vibration, air over pressure as well as fly rock. Blast design is a process which needs to be monitored continuously as the rock mass exhibit many vibrations within the same boundary. Often the quantum of explosive had to be determined within safe vibration limit. Artificial Neural Network approach is also gaining wide recognition for its accuracy to match with the measured values. This paper evaluates the governing relations between PPV at varying explosive quantities and distances using established approaches as well as the results by application of artificial neural network.A total of nine blast events have been analyzed. Indian Standard and ANN approaches exhibit better correlation with the measured values of PPV as compared to that by other approaches.
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