Effect of Geological Structure on Flyrock Prediction in Construction Blasting View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-02-09

AUTHORS

Edy Tonnizam Mohamad, Chang Shiang Yi, Bhatawdekar Ramesh Murlidhar, Rosli Saad

ABSTRACT

Blasting is sometimes inevitable in civil engineering work, to fragment the massive rock to enable excavation and leveling. In Minyak Beku, Batu Pahat also, blasting is implemented to fragment the rock mass, to reduce the in situ rock level to the required platform for a building construction. However, during blasting work, some rocks get an excessive amount of explosive energy and this energy may generate flyrock. An accident occurred on 15 July 2015 due to this phenomenon, in which one of the workers was killed and two other workers were seriously injured after being hit by the flyrock. The purpose of this study is to investigate the causes of the flyrock accidents through evaluation of rock mass geological structures. The discontinuities present on the rock face were analyzed, to study how they affected the projection and direction of the flyrock. Rock faces with lower mean joint spacing and larger apertures caused excessive flyrock. Based on the steoreonet analysis, it was found that slope failures also produced a significant effect on the direction, if the rock face failure lay in the critical zone area. Empirical models are often used to predict flyrock projection. In this study five empirical models are used to compare the incidents. It was found that none of the existing formulas could accurately predict flyrock distance. Analysis shows that the gap between predicted and actual flyrock can be reduced by including blast deign and geological conditions in forecasts. Analysis revealed only 69% of accuracy could be achieved if blast design is the only parameter to be considered in flyrock projection and the rest is influenced by the geological condition. Other causes of flyrock are discussed. Comparison of flyrock prediction with face bursting, cratering and rifling is carried out with recent prediction models. More... »

PAGES

2217-2235

References to SciGraph publications

  • 2012-04-03. Evaluation of effect of blast design parameters on flyrock using artificial neural networks in NEURAL COMPUTING AND APPLICATIONS
  • 2014-03-14. Flyrock in bench blasting: a comprehensive review in BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
  • 2010-05-21. Flyrock danger zone demarcation in opencast mines: a risk based approach in BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
  • 2010-04-07. Application of TOPSIS method for selecting the most appropriate blast design in ARABIAN JOURNAL OF GEOSCIENCES
  • 2015-03-20. Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods in ENGINEERING WITH COMPUTERS
  • 1999-10. Studies on Flyrock at Limestone Quarries in ROCK MECHANICS AND ROCK ENGINEERING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10706-018-0457-3

    DOI

    http://dx.doi.org/10.1007/s10706-018-0457-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1100921769


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