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A new classification approach for prediction of flyrock throw in surface mines

Original Article
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Abstract

A novel classification approach was proposed for prediction of flyrock throw distance based on the site measurements performed in a sandstone quarry. The classification approach was created by using multiple discriminant analysis (MDA) technique. The input parameters of discriminant analysis are blast design parameters and a rock mass parameter. The grouping stage of classification was performed considering a well-known blast regulation for flyrock. Additionally, multiple regression analysis technique applied to blast data to create a flyrock prediction equation. By this way, the capability and differences of the classification approach were investigated. Model validation was performed on the test blasts. MDA model successfully estimated the flyrock throw distance. Unlike the classical prediction models, the MDA model predicts severity of flyrock throws instead of a numerical value. MDA model can be easily practiced by the created territorial map. The model does not require any specific software or training for usage and suitable for practical applications at mines.

Keywords

Blasting Flyrock Classification Discriminant analysis Regression analysis 

Notes

Acknowledgments

This study was partly supported by the Research Fund of the Istanbul Technical University (project name: ‘The effects of the variations in blast design and initiation systems on blast induced ground vibrations. No: 38511). The authors are grateful to the Research Fund of the Istanbul Technical University for their financial support.

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Department of Mining EngineeringIstanbul Technical UniversityIstanbulTurkey

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