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

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

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1089-1094
Number of pages6
JournalJournal of the Southern African Institute of Mining and Metallurgy
Volume117
Issue number11
DOIs
StatePublished - Nov 2017
Externally publishedYes

Keywords

  • Blast fragmentation
  • Linear models
  • Open pit blasting

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