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<p>Blasting is one of the most critical stages in open-pit mining operations, directly affecting mine productivity, extraction costs, and the control of fines generation. This study focuses on optimizing blasting operations in the Rahmanlu quarry to reduce fines production and enhance overall mining efficiency. Initially, three blasts were examined using image analysis techniques to identify an appropriate blasting pattern. Subsequently, three mathematical models SVEDEFO, Kuz-Ram and modified Kuz-Ram were employed to predict fragmentation resulting from blasting. The model predictions were compared with image analysis results from the actual blasts, with the modified Kuz-Ram model showing the closest agreement to real conditions. A calibration equation was then fitted to further improve the alignment between the modified Kuz-Ram model and actual blast results. Next, eighteen different blasting patterns were developed based on empirical methods, and the optimal pattern was selected according to fragmentation size distribution and economic parameters. Implementation of the optimized pattern resulted in approximately a 10% reduction in fines and a 10% increase in marketable product yield.</p>

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Optimization of Blasting Operations at Rahmanlu Quarry with the Aim of Reducing Fine Materials

  • 期刊论文

  • 发表日期：

    2026年5月18日

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  • Babak Ahadi,
  • Amir Khademian,
  • Hossein Mirzaei-Nasirabad

摘要

Blasting is one of the most critical stages in open-pit mining operations, directly affecting mine productivity, extraction costs, and the control of fines generation. This study focuses on optimizing blasting operations in the Rahmanlu quarry to reduce fines production and enhance overall mining efficiency. Initially, three blasts were examined using image analysis techniques to identify an appropriate blasting pattern. Subsequently, three mathematical models SVEDEFO, Kuz-Ram and modified Kuz-Ram were employed to predict fragmentation resulting from blasting. The model predictions were compared with image analysis results from the actual blasts, with the modified Kuz-Ram model showing the closest agreement to real conditions. A calibration equation was then fitted to further improve the alignment between the modified Kuz-Ram model and actual blast results. Next, eighteen different blasting patterns were developed based on empirical methods, and the optimal pattern was selected according to fragmentation size distribution and economic parameters. Implementation of the optimized pattern resulted in approximately a 10% reduction in fines and a 10% increase in marketable product yield.