Modelling of blasting ground vibration using multivariate regression analysis
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Date
2016-06
Authors
Muhammad Idham Ismail
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Abstract
In modern mining industry, the blasting technique is one of the most adopted techniques for rock fragmentation and excavation due to its economical and efficient aspects. However, compared with other methods, the use of explosives in blasting is limited by law as it may have a severe impact on the surrounding environment such as vibration, noise and dust. Especially, a ground vibration induced by blasting has to be paid much attention in the mining operation as it may give an obvious impact on the surrounding facilities and buildings and in many established safe level blasting criteria, the ground vibration level is characterized by using three parameters; duration, frequency and peak particle velocity (PPV). Current studies on the blast-induced ground vibration focus on two parameters, PPV and frequency.that suggested by USBM when the concerned subject is structure, i.e.. Hence, the control of PPV and dominant frequency are very important in order to design an appropriate blasting standard and minimize its environmental impacts. This dissertation discussed about the relationship between the blast design parameters and peak particle velocity (PPV) and the influences of blast design onto the PPV during blasting operation by using multivariate regression analysis (MRA).