A statistical approach to predict the effect of confinement on the detonation velocity of commercial explosives

Esen, S. (2004) A statistical approach to predict the effect of confinement on the detonation velocity of commercial explosives. Rock Mechanics and Rock Engineering, 37 4: 317-330.


Author Esen, S.
Title A statistical approach to predict the effect of confinement on the detonation velocity of commercial explosives
Journal name Rock Mechanics and Rock Engineering   Check publisher's open access policy
ISSN 0723-2632
Publication date 2004
Sub-type Article (original research)
DOI 10.1007/s00603-004-0026-3
Volume 37
Issue 4
Start page 317
End page 330
Total pages 14
Editor G. Barla
Place of publication Vienna, Austria
Publisher Springer-Verlag, Wien
Collection year 2004
Language eng
Subject C1
290701 Mining Engineering
640200 Primary Mining and Extraction Processes
Abstract Commercial explosives behave non-ideally in rock blasting. A direct and convenient measure of non-ideality is the detonation velocity. In this study, an alternative model fitted to experimental unconfined detonation velocity data is proposed and the effect of confinement on the detonation velocity is modelled. Unconfined data of several explosives showing various levels of nonideality were successfully modelled. The effect of confinement on detonation velocity was modelled empirically based on field detonation velocity measurements. Confined detonation velocity is a function of the ideal detonation velocity, unconfined detonation velocity at a given blasthole diameter and rock stiffness. For a given explosive and charge diameter, as confinement increases detonation velocity increases. The confinement model is implemented in a simple engineering based non-ideal detonation model. A number of simulations are carried out and analysed to predict the explosive performance parameters for the adopted blasting conditions.
Keyword Engineering, Geological
Geosciences, Multidisciplinary
Commercial Explosives
Rock Blasting
Detonation Velocity
Confinement
Q-Index Code C1

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mechanical & Mining Engineering Publications
2005 Higher Education Research Data Collection
 
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Created: Wed, 15 Aug 2007, 03:11:08 EST