@article{ajmm2026912,
author={{BAR, Lamine and SARR, D¨¦thi¨¦ and FALL, Hamed and SOW, Makhtar},
title={Evaluation of the Kuz-Ram Model and Its Extensions for Predicting Fragmentation Size Distribution from Blasting: Case Study of the Diack Basalt Quarry (Senegal)},
journal={American Journal of Mining and Metallurgy},
volume={9},
number={1},
pages={7--14},
year={2026},
url={https://pubs.sciepub.com/ajmm/9/1/2},
issn={2376-7960},
abstract={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.},
doi={10.12691/ajmm-9-1-2}
publisher={Science and Education Publishing}
}