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dc.contributor.authorKiamba, Emmnuel
dc.contributor.authorKasomo, Richard Muthui
dc.contributor.authorRop, Bernard K.
dc.contributor.authorMwendwa, Jackson Mwangngi
dc.date.accessioned2019-05-20T05:59:06Z
dc.date.available2019-05-20T05:59:06Z
dc.date.issued2019-04
dc.identifier.urihttp://ir.mksu.ac.ke/handle/123456780/4471
dc.description.abstractBlasting is one of the most economical production excavation method in hard rock mines. Few studies about blasting fragmentation exist due to lack of reliable fragmentation data. Many researchers have attempted to predict blasting fragmentation using the Kuz-rams model, an empirical fragmentation model suggested by Cunningham. This investigation is to relate the blasting parameters such as the drill hole diameter, the burden, spacing, charge length and explosive weight to the fragmentation size distribution in order to obtain controlled fragmentation blasting. This investigation is to relate the blasting parameters such as the drill hole diameter, the burden, spacing, charge length and explosive weight to the fragmentation size distribution in order to obtain controlled fragmentation blasting. The investigation further studied the final profile of the excavated wall and adopted a presplitting blasting techniques to produce a smooth stable wall which reduced dilution of the limestone muck piles. Blasting data from the Bissel quarry was analyzed. It was observed that 16.25% of the blasted material used to be retained on the mesh hence accounted as boulders. The best blasting parameters for the quarry were defined and by application of researchers empirical models and the developed blasting design model, the amount of material retained on the mesh were reduced from 16.25% to 0.65%.en_US
dc.language.isoen_USen_US
dc.publisherMachakos Universityen_US
dc.subjectBlastingen_US
dc.subjectKuz-rams modelen_US
dc.subjectBlasting parametersen_US
dc.subjectPresplittingen_US
dc.titleLimestone Production Optimization by Fragmentation Control – Case Study of Bissel Quarryen_US
dc.typeArticleen_US


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