Impact of blast design parameters on rock fragmentation in sub-level caving: A multivariate regression approach
aSchool of Chemical Engineering, Faculty of Mining Engineering, The University of Adelaide, Adelaide, South Australia, 5000, Australia
bOrica, Perth, Western Australia, 6007, Australia
cDivision of Mining and Geotechnical Engineering, Luleå University of Technology, Luleå, 971 87, Sweden
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Ahmadreza (Reza) Khodayari is a PhD candidate in Mining Engineering at the University of Adelaide (since April 2023), focusing on drawpoint and cave operations and fragmentation sensing. He holds a BSc in Mining Engineering from Imam Khomeini International University (2018) and an MSc from Amirkabir University of Technology (2021). His research interests include sublevel-caving blast modelling, gravity flow and fragmentation analysis, fracture mechanics, 3D numerical simulation, and data-driven methods. His recent publications cover topics such as a machine-learning approach to predicting blast-induced fragment size (FRAGBLAST, 2025), sublevel-caving blast modelling (ARMA, 2024), and the impact of explosive-charge misfires on gravity flow (MassMin, 2024).
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