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Author (up) Silva, J.D.; Amaya, J.G.; Basso, F. pdf  doi
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  Title Development of a predictive model of fragmentation using drilling and blasting data in open pit mining Type Journal Article
  Year 2017 Publication Journal Of The Southern African Institute Of Mining And Metallurgy Abbreviated Journal J. S. Afr. Inst. Min. Metall.  
  Volume 117 Issue 11 Pages 1089-1094  
  Keywords open pit blasting; linear models; blast fragmentation  
  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, i.e. burden, spacing, explosive, among others, to be optimized in order to obtain a more efficient size distribution.  
  Address [Silva, J. D.] Univ Adolfo Ibanez Santiago, UAI Min Ctr, Fac Engn & Sci, Santiago, Chile  
  Corporate Author Thesis  
  Publisher Southern African Inst Mining Metallurgy Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2225-6253 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000426478800016 Approved no  
  Call Number UAI @ eduardo.moreno @ Serial 836  
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