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

dc.creatorSilva, JD
dc.creatorAmaya-Arriagada, Jorge Guillermo
dc.creatorBasso, F
dc.date2018-09-24T15:49:59Z
dc.date2022-07-07T15:15:39Z
dc.date2018-09-24T15:49:59Z
dc.date2022-07-07T15:15:39Z
dc.date2017
dc.date.accessioned2023-08-23T00:33:03Z
dc.date.available2023-08-23T00:33:03Z
dc.identifier1130816
dc.identifier1130816
dc.identifierhttps://hdl.handle.net/10533/220618
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8355568
dc.descriptionThis 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
dc.languageeng
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relationinfo:eu-repo/grantAgreement//1130816
dc.relationinfo:eu-repo/semantics/dataset/hdl.handle.net/10533/93477
dc.relationhttp://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S2225-62532017001100018
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.titleDevelopment of a predictive model of fragmentation using drilling and blasting data in open pit mining
dc.titleJournal Of The Southern African Institute Of Mining And Metallurgy
dc.typeArticulo
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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