Soft Computing Approach to Evaluate and Predict Blast Vibrations
Application to Mining and Civil Engineering Projects
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Drilling and blasting is one of the most economical methods used for the exploitation of economic minerals from the earth crust. Ground vibrations induced by blasting are one of the fundamental problems in the mining industry due to its consequence on structural stability of buildings, socio-economical and the public involvement. Frequency is also another important parameter for the safety and stability of existing surrounding structures. There are number of vibration predictors available proposed by different researchers for the prediction of peak particle velocity (PPV) and to calculate safe...
Drilling and blasting is one of the most economical methods used for the exploitation of economic minerals from the earth crust. Ground vibrations induced by blasting are one of the fundamental problems in the mining industry due to its consequence on structural stability of buildings, socio-economical and the public involvement. Frequency is also another important parameter for the safety and stability of existing surrounding structures. There are number of vibration predictors available proposed by different researchers for the prediction of peak particle velocity (PPV) and to calculate safe charge for smooth and trouble free blasting but all the predictors are mainly based on parameters, like explosive charge used per delay and distance from the blast face to monitoring point. However, frequency prediction has been ignored while calculating the safe charge. It is well known that blast vibration is influenced by rock, explosive and blast design parameters. This book deals with assessment of the existing predictors capability vis-à-vis application of soft computing tool to compute the PPV and frequency based on rock, blast design and explosive parameters.
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