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S. V. Khokhlov
S. V. Khokhlov
Ph.D., Associate Professor
associate professor
National Mineral Resources University (Mining University)
associate professor, Ph.D., Associate Professor
National Mineral Resources University (Mining University)

Co-authors

Articles

Article
Geotechnical Engineering and Engineering Geology
  • Date submitted
    2025-01-27
  • Date accepted
    2025-09-18
  • Online publication date
    2025-10-22

Application of digital simulation methods for predicting parameters of blasted rock muckpile

Article preview

The paper considers the features of simulating the blasted rock muckpile formation. We describe various applied approaches and algorithms, as well as discuss the further development of national digital technologies in the mining industry. The study addresses key challenges in simulating explosive impact on rock mass. Due to the significant complexity of mathematical description of rock mass and explosive destruction processes, simulation requires various assumptions that inevitably affect its quality in terms of correspondence to real-world processes. The research compares two approaches to rock fragment dispersion: classical solution based on Newton’s laws and alternative approach assuming that the blasted rock moves as a single indivisible volume at the initial moment of time and fractures only upon contact with the surface. The study demonstrates that, given identical explosive impact and different rock mass representations (2D model with pieces of different sizes and densities), the resulting muckpiles differ significantly. The closest in shape muckpiles for both computation methods are obtained for rock mass simulated with 50 and 100 mm fragments. The obtained results suggest that under certain conditions, it is feasible to use a simplified (alternative) method for simulating the muckpile formation. This approach involves treating the rock movement after explosive impact as a single piece with subsequent fragmentation upon landing.

How to cite: Khokhlov S.V. Application of digital simulation methods for predicting parameters of blasted rock muckpile // Journal of Mining Institute. 2025. Vol. 275. p. 196-204.