1Geotechnical Department, L2M, UFR of Engineering Sciences, Iba Der Thiam University, Thies-Senegal
American Journal of Mining and Metallurgy.
2026,
Vol. 9 No. 1, 7-14
DOI: 10.12691/ajmm-9-1-2
Copyright © 2026 Science and Education PublishingCite this paper: Lamine BAR, Déthié SARR, Hamed FALL, Makhtar SOW. Evaluation of the Kuz-Ram Model and Its Extensions for Predicting Fragmentation Size Distribution from Blasting: Case Study of the Diack Basalt Quarry (Senegal).
American Journal of Mining and Metallurgy. 2026; 9(1):7-14. doi: 10.12691/ajmm-9-1-2.
Correspondence to: Lamine BAR, Geotechnical Department, L2M, UFR of Engineering Sciences, Iba Der Thiam University, Thies-Senegal. Email:
lamine.bar@univ-thies.snAbstract
This study evaluates the predictive performance of the Kuz-Ram model and its extensions (Shifted Kuz-Ram and Extended Kuz-Ram) for blast-induced fragmentation in a hard rock geological context: the Diack basalt quarry in Senegal. Particle size distributions were obtained through WipFrag® image analysis and compared to model predictions. The results show that the original Kuz-Ram model (1987) reproduces the general trend with an R² of 0.91 but underestimates the midsize range. The introduction of the shifting factor (Shifted Kuz-Ram) significantly improves the fit (R² = 0.96). The Extended Kuz-Ram model by Cunningham (2005), after calibration of the C(A) and C(n) coefficients, offers the best performance with an R² of 0.995 and an RMSE of 2.76%, demonstrating the importance of local adaptation of empirical parameters. This study contributes to optimizing blast design in basaltic environments and highlights the necessity of calibrating models with field data.
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