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This paper presents a comprehensive study conducted at Hanson’s Quarry Plant in Kulai, Johor, focusing on the impact of blastability index on the fragmentation of blasted rock. Two distinct methods were employed: a manual approach utilizing scanline survey techniques and an automated approach involving the digital extraction of discontinuity orientation through point cloud data. A detailed comparison between the conventional and the point cloud methods, particularly regarding the rock discontinuities, has been discussed. Dip and dip direction data were extracted from point cloud data using Topcon ScanMaster software, and potential failure modes were determined using DIPS software. The classification of rock mass quality was achieved through Rock Mass Rating (RMR) and Geological Strength Index (GSI), leading to the computation of the blastability index. Laboratory experiments such as the Uniaxial Compression Test, Brazilian Test, and Direct Shear Test, were meticulously conducted. The overall rock quality is assessed as fair rock with an RMR rating of 51, and the blastability index is in the range between 40 and 45, indicating ease of blasting. The mean rock size particle X50 is estimated at 237.16 mm, suggesting satisfactory rock fragmentation. This study contributes valuable insights into optimizing blasting practices based on blastability index considerations for improved rock fragmentation outcomes.

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The Classification of Rock Fragmentation Based on the Blastability Index of Blasted Rock Mass

  • 会议论文

  • 发表日期：

    2026年

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  • Nor Shahira Ederose,
  • Muhammad Irfan Shahrin,
  • Mohammad Ashikur Rahman,
  • Radzuan Sa’ari,
  • Rini Asnida Abdullah

摘要

This paper presents a comprehensive study conducted at Hanson’s Quarry Plant in Kulai, Johor, focusing on the impact of blastability index on the fragmentation of blasted rock. Two distinct methods were employed: a manual approach utilizing scanline survey techniques and an automated approach involving the digital extraction of discontinuity orientation through point cloud data. A detailed comparison between the conventional and the point cloud methods, particularly regarding the rock discontinuities, has been discussed. Dip and dip direction data were extracted from point cloud data using Topcon ScanMaster software, and potential failure modes were determined using DIPS software. The classification of rock mass quality was achieved through Rock Mass Rating (RMR) and Geological Strength Index (GSI), leading to the computation of the blastability index. Laboratory experiments such as the Uniaxial Compression Test, Brazilian Test, and Direct Shear Test, were meticulously conducted. The overall rock quality is assessed as fair rock with an RMR rating of 51, and the blastability index is in the range between 40 and 45, indicating ease of blasting. The mean rock size particle X50 is estimated at 237.16 mm, suggesting satisfactory rock fragmentation. This study contributes valuable insights into optimizing blasting practices based on blastability index considerations for improved rock fragmentation outcomes.