Predicting the average size of blasted rocks in aggregate quarries using artificial neural networks

  • Lamprini Dimitraki
  • Basile Christaras
  • Vassilis Marinos
  • Ioannis Vlahavas
  • Nikolas Arampelos
Original Paper

Abstract

The prediction of the average size of fragments in blasted rock piles produced after blasting in aggregate quarries is essential for decresing the cost of crushing and secondary breaking. There are several conventional and advanced processes to estimate the size of blasted rocks. Among these, the empirical prediction of the expected fragmentation in most cases is carried out by Kuznetsov’s equation (Sov Min Sci 9:144–148, 1973), modified by Lilly (1986) and Cunningham (1987). The present research focuses on the effect of the engineering geological factors and blasting process on the blasted fragments using a more powerful, advanced computational tool, an artificial neural network. In particular, the blast database consists of the blastability index of limestone on the pit face, the quantities of the explosives and of the blasted rock pile, assessing the interaction of these parameters on the blasted rocks. The data were collected from two aggregate quarries, Drymos and Tagarades, near Thessaloniki, in the Central Macedonia region of Greece. This approach indicates significant performance stability, providing the fragmentation size with high accuracy.

Keywords

Artificial neural network Aggregate quarries Blastability index Blasted rock pile 

Notes

Acknowledgements

This research was carried out with scholarship by State Scholarships Foundation (IKY) that was funded in the framework of the “Scholarships for second cycle postgraduate courses” by the operational program “Human Resources Development, Education and Lifelong Learning”, 2014–2020 with the co-financing of the European Social Fund (ESF) and the Greek Public Investment.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Lamprini Dimitraki
    • 1
  • Basile Christaras
    • 1
  • Vassilis Marinos
    • 1
  • Ioannis Vlahavas
    • 2
  • Nikolas Arampelos
    • 3
  1. 1.Department of GeologyAristotle University of ThessalonikiThessalonikiGreece
  2. 2.Department of InformaticsAristotle University of ThessalonikiThessalonikiGreece
  3. 3.ThessalonikiGreece

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