Optimizing Rock Fragmentation in Open Pit Mining: Blasting Plan Refinement Using WipFrag and Kuz-Ram method
1
Department of Mining Engineering, Metallurgy and Materials, Laboratory of Mines, Metallurgy and Materials (L3M), National Higher School of Technology and Engineering, Annaba, Algeria
2
Mining Department, Faculty of Earth Sciences, Badji Mokhtar University, Algeria
3
Department of Mines and Geotechnology, Echahid Echeikh Larbi Tébessi University, Tebessa, Algeria
4
Department of Earth Sciences, Institute of Architecture and Earth Sciences, Laboratory of Applied Research in Engineering Geology, Geotechnics, Water Sciences, and Environment, Ferhat Abbas University, Setif, Algeria
5
Territory Planning Research Center, Algeria
Submission date: 2024-08-28
Final revision date: 2024-09-14
Acceptance date: 2024-09-25
Publication date: 2025-01-18
Corresponding author
Riheb Hadji
Department of Earth Sciences, Institute of Architecture and Earth Sciences, Ferhat Abbas University, 19137, Setif, Algeria
Department of Earth Sciences, Institute of Architecture and Earth Sciences, Ferhat Abbas University, 19137, Setif, Algeria
Geomatics, Landmanagement and Landscape 2024;(4)
KEYWORDS
TOPICS
ABSTRACT
In open-pit mining, optimizing blasting techniques is essential for enhancing both operational efficiency and achieving desired rock fragmentation, which directly impacts subsequent processes such as loading, hauling, and crushing. A well-designed drilling pattern and precise blasting plan are crucial for ensuring the effective distribution of block sizes. The technical and geometrical characterization of rock fragments plays a key role in improving blasting performance. This study focuses on enhancing fragmentation quality in the ENG Ain Touta limestone quarry, NE of Algeria, through the application of numerical modeling techniques. Current blasting outcomes were evaluated using WipFrag software to create particle size distribution curves, which revealed a significant proportion of oversized blocks, ranging between 21% and 25%. This highlights a critical need for modifications to the blasting plan. To address this, a revised plan was developed, incorporating an additional 20 kg of explosives per borehole. The predicted effects of this adjustment were modeled using the Kuz-Ram method, showing a 40% reduction in oversized blocks and a substantial improvement in rock fragmentation quality. The results underscore the effectiveness of integrating image analysis software and predictive modeling in refining blasting strategies. By mproving fragmentation, this approach can significantly boost mining operations’ efficiency, reduce the handling of oversized materials, and optimize the overall quarrying process. This study demonstrates the potential of numerical models and targeted adjustments in blasting plans to enhance productivity and cost-effectiveness in open-pit mining operations.
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| ISSN: | 2300-1496 |
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