Prediction of rock fragmentation using the Kuznetsov-Cunningham-Ouchterlony model

Assessment of blast fragment size distribution is critical in mining operations because it is the initial step towards mineral extraction. Different empirical models and techniques are available for predicting and investigating the consequences of blasting, one of which is the Kuznetsov-Cunningham-O...

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Veröffentlicht in:Journal of the South African Institute of Mining and Metallurgy 2021-03, Vol.121 (3), p.107-112
Hauptverfasser: Mutinda, E.K., Alunda, B.O., Maina, D.K., Kasomo, R.M.
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container_issue 3
container_start_page 107
container_title Journal of the South African Institute of Mining and Metallurgy
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creator Mutinda, E.K.
Alunda, B.O.
Maina, D.K.
Kasomo, R.M.
description Assessment of blast fragment size distribution is critical in mining operations because it is the initial step towards mineral extraction. Different empirical models and techniques are available for predicting and investigating the consequences of blasting, one of which is the Kuznetsov-Cunningham-Ouchterlony (KCO) model. In this paper we summarize the advances in the empirical models from inception until now, and explore the improvements that have been made so far with particular emphasis is on the most recent KCO model. Utilization of the model and the errors that arise between expected and the actual outcomes are analysed. The results indicate that the KCO model remains useful for predicting the blast fragmentation at limestone mine sites, despite the availability of other advanced prediction models. It is also a valuable instrument for pre-surveying the impact of varying certain parameters of a blast plan.
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subjects Empirical analysis
Fragmentation
Limestone
Particle size distribution
Prediction models
title Prediction of rock fragmentation using the Kuznetsov-Cunningham-Ouchterlony model
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