Application of stochastic approach to predict blast movement

Rogers, W. D. and Kanchibotla, Sarma (2013). Application of stochastic approach to predict blast movement. In: Pradeep K. Singh and Amalendu Sinha, Rock Fragmentation by Blasting, Fragblast 10: Proceedings of the 10th International Symposium on Rock Fragmentation by Blasting. 10th International Symposium on Rock Fragmentation by Blasting (FRAGBLAST 10), New Delhi, India, (257-265). 24-29 November 2012. doi:10.1201/b13759-34

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Author Rogers, W. D.
Kanchibotla, Sarma
Title of paper Application of stochastic approach to predict blast movement
Conference name 10th International Symposium on Rock Fragmentation by Blasting (FRAGBLAST 10)
Conference location New Delhi, India
Conference dates 24-29 November 2012
Proceedings title Rock Fragmentation by Blasting, Fragblast 10: Proceedings of the 10th International Symposium on Rock Fragmentation by Blasting
Journal name Rock Fragmentation by Blasting, FRAGBLAST 10 - Proceedings of the 10th International Symposium on Rock Fragmentation by Blasting
Place of Publication Leiden, Netherlands
Publisher CRC Press
Publication Year 2013
Sub-type Fully published paper
DOI 10.1201/b13759-34
ISBN 9780415621434
Editor Pradeep K. Singh
Amalendu Sinha
Start page 257
End page 265
Total pages 9
Language eng
Abstract/Summary In open pit mining operations, blast-induced rock mass displacement can have a significant impact on ore recovery due to mischaracterization of grade boundaries. It is therefore necessary to understand blast movement dynamics so that appropriate adjustments can be made to minimise blast~induced ore loss and dilution. The magnitude and direction of blast movement are site-specific and depends on blast confinement conditions, energy intensity and geology. Since most of these inputs parameters are variable, a stochastic approach is considered more appropriate and this paper gives a description of such an alternative stochastic approach to predict blast movement. The value of the new approach is demonstrated using the data from an open pit metalliferous mine.
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Conference Paper
Collections: Julius Kruttschnitt Mineral Research Centre Publications
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Created: Thu, 06 Dec 2012, 23:42:27 EST by Karen Holtham on behalf of Julius Kruttschnitt Mineral Research Centre