Development of a predictive model of fragmentation using drilling and blasting data in open pit mining

J. D. Silva, J. G. Amaya, F. Basso

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

12 Citas (Scopus)

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, ie. burden, spacing, explosive, among others, to be optimized in order to obtain a more efficient size distribution.

Idioma originalInglés
Páginas (desde-hasta)1089-1094
Número de páginas6
PublicaciónJournal of the Southern African Institute of Mining and Metallurgy
Volumen117
N.º11
DOI
EstadoPublicada - nov. 2017
Publicado de forma externa

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