Scholarlink

<p>The locations and sizes of drill holes are two critical decisions in drill and blast design. These decisions should balance the trade-off between different blast objectives such as fragmentation, cost, and ease of operational execution. Additionally, selecting the correct hole diameters allows operators to use the optimal explosive amount without exceeding limits on ground vibration. Simulations show that fragmentation can be significantly improved by using a non-uniform grid for the hole locations (variable distance between holes). However, a complex non-uniform pattern hinders explosive trucks from traversing both diagonally and horizontally across the blast. Keeping navigation options open is important because obstacles in mines, such as pit walls, often limit truck movement. We propose a heuristic method for automating pattern design that optimizes fragmentation while accounting for truck navigation. Simulation results demonstrate that, by optimizing and clustering drill bit size selection across the blast, the new approach achieves 3–4% improved fragmentation with fewer drill holes, particularly when the blast is near vibration-sensitive zones.</p>

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Drill and Blast Decision Support to Optimize Hole Position, Explosives, and Drill Bit Clusters

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月8日

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  • Ozan Perincek,
  • Ryan Loxton,
  • Sarang Kulkarni,
  • Daniel Arthur

摘要

The locations and sizes of drill holes are two critical decisions in drill and blast design. These decisions should balance the trade-off between different blast objectives such as fragmentation, cost, and ease of operational execution. Additionally, selecting the correct hole diameters allows operators to use the optimal explosive amount without exceeding limits on ground vibration. Simulations show that fragmentation can be significantly improved by using a non-uniform grid for the hole locations (variable distance between holes). However, a complex non-uniform pattern hinders explosive trucks from traversing both diagonally and horizontally across the blast. Keeping navigation options open is important because obstacles in mines, such as pit walls, often limit truck movement. We propose a heuristic method for automating pattern design that optimizes fragmentation while accounting for truck navigation. Simulation results demonstrate that, by optimizing and clustering drill bit size selection across the blast, the new approach achieves 3–4% improved fragmentation with fewer drill holes, particularly when the blast is near vibration-sensitive zones.