Image based blast fragmentation assessment

Paley, Norman. (1989). Image based blast fragmentation assessment Master's Thesis, School of Engineering, The University of Queensland.

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Author Paley, Norman.
Thesis Title Image based blast fragmentation assessment
School, Centre or Institute School of Engineering
Institution The University of Queensland
Publication date 1989
Thesis type Master's Thesis
Supervisor Alex Kavetsky
A.J. Lynch
Total pages 321
Language eng
Subjects 091405 Mining Engineering
Formatted abstract

Blasting is one of the most common processes in the mining industry. Analysis of blasting success is often done by assessing the fragmentation. A review of techniques used to describe blast fragmentation is presented along with a discussion of methods for describing fragmentation. The previous JK fragmentation analysis technique is described and suggested improvements outlined.

A description of the factors which affect the optically determined size distribution are discussed. The development of a technique to estimate the fines which are unseen in the images is presented. The technique is tested against screened size distribution data and found to reproduce accurately the screened size distributions.

Analysis of the errors inherent in any size analysis and in optical size analysis in particular are presented. Confirmation of the suitability of P. Gy's sampling error equations to blasted rock distributions is undertaken. These are found to be suitable.

The development of an automated image processing system is discussed and two algorithms which appear the most useful are presented. Enhancements required to improve the reliability of the algorithms are presented.

Keyword Blasting

Document type: Thesis
Collection: UQ Theses (non-RHD) - UQ staff and students only
Citation counts: Google Scholar Search Google Scholar
Created: Tue, 16 Oct 2012, 12:34:28 EST by Ms Christine Heslehurst on behalf of Scholarly Communication and Digitisation Service