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, B. Ouma
dc.contributor.author Maina, D. Kimani
dc.contributor.author Ondicho, I. Onsomu
dc.contributor.author Kasomo, R. Muthui
dc.date.accessioned 2021-10-04T08:12:36Z
dc.date.available 2021-10-04T08:12:36Z
dc.date.issued 2021-10
dc.identifier.uri https://www.zef.de/fileadmin/webfiles/downloads/projects/WACSRT/Research_Fair/Poster_Mutinda_Kiamba.pdf
dc.identifier.uri http://repository.dkut.ac.ke:8080/xmlui/handle/123456789/4872
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.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 Presentation en_US


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