Articulo
Development of a predictive model of fragmentation using drilling and blasting data in open pit mining
Journal Of The Southern African Institute Of Mining And Metallurgy
Registro en:
1130816
1130816
Autor
Silva, JD
Amaya-Arriagada, Jorge Guillermo
Basso, F
Institución
Resumen
This article presents predictive statistical models for fragmentation in open pit mines using drill-and-blast data. The main contribution of this work is the proposing of statistical models to determine the correlations between operational data and fragmentation. The practical use of these models allows the drill-and-blast parameters, i.e. burden, spacing, explosive, among others, to be optimized in order to obtain a more efficient size distribution. Keywords. Author Keywords:open pit blasting; linear models; blast fragmentation