Prediction and Measurement of Blast Induced Rock Fragmentation-A Case Study of Kajiado County Quarries-Kenya

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dc.contributor.author Mutinda, E. Kiamba
dc.contributor.author Alunda, Bernard
dc.contributor.author Maina, D. Kimani
dc.contributor.author Ondicho, Ibrahim
dc.contributor.author Kasomo, R. Muthui
dc.date.accessioned 2022-12-01T09:00:42Z
dc.date.available 2022-12-01T09:00:42Z
dc.date.issued 2021
dc.identifier.uri http://repository.dkut.ac.ke:8080/xmlui/handle/123456789/7851
dc.description A reliable rock fragmentation prediction model is an essential aspect of the blasting operation for improved production. Blasting affect all the downstream operations, including loading, hauling, and processing, there is a need for blasts to be designed in conjunction with fragment sizes modelling : Research methodology; The data gathered was used to predict blast fragmentation using the selected models. This was to determine pre-blast particle size distribution at the sites. After collecting the bench data, a blast was done and images of the fragments taken for analysis using Split-Desktop. The process was repeated for six blasts considered for each quarry. Data collection process. The blast fragment size prediction data was collected prior to blasting through field measurements while the blast size measurement was done by taking images of blasted rock materials en_US
dc.description.abstract A reliable rock fragmentation prediction model is an essential aspect of the blasting operation for improved production. Blasting affect all the downstream operations, including loading, hauling, and processing, there is a need for blasts to be designed in conjunction with fragment sizes modelling : Research methodology; The data gathered was used to predict blast fragmentation using the selected models. This was to determine pre-blast particle size distribution at the sites. After collecting the bench data, a blast was done and images of the fragments taken for analysis using Split-Desktop. The process was repeated for six blasts considered for each quarry. Data collection process. The blast fragment size prediction data was collected prior to blasting through field measurements while the blast size measurement was done by taking images of blasted rock materials en_US
dc.description.sponsorship Centre of Excellence for Mining Environmental Engineering and Resource Management (CEMEREM). en_US
dc.language.iso en en_US
dc.publisher DAAD en_US
dc.title Prediction and Measurement of Blast Induced Rock Fragmentation-A Case Study of Kajiado County Quarries-Kenya en_US
dc.type Article en_US


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