Abstract

The authors appreciate staff and management of ZIBO-FM quarry, Akure, Ondo state, Nigeria, for their cooperation during data collection for this research.

Highlights

  • Fragmentation means the process of breaking the solid in situ rock mass into several smaller pieces capable of being excavated or handled by material handling equipment

  • The mean run-off-mine size, average boulder size decreased as specific charge increases

  • The research examines the use of digital imaging analysis method to predict the fragment sizes of blasted material using the Microsoft paint imaging system

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Summary

Methods

Five blast tests were conducted in the field to examine the effectiveness of this method of fragmentation analysis and investigate the influence of burden, spacing and specific charge on degree of fragmentation. The particle size distribution obtained from Microsoft-paint imaging analysis shows that the mean run-off-mine sizes are 0.6, 0.58, 0.42, 0.36 and 0.54 m, and the average boulder sizes of fragmented particles are 1.19, 1.11, 0.93, 0.81 and 1.03 m, for blast test 1, blast test 2, blast test 3, blast test 4 and blast test 5 respectively. The results shows that with increasing burden and spacing distances, the mean run-off-mine size, average boulder particle size increased. The mean run-off-mine size, average boulder size decreased as specific charge increases. Microsoft paint imaging system can be used as a fragmentation analytical tool.

Introduction
Optimum fragmentation
Aims and objective of study
Rock fragmentation analytical methods
Methodology of research
Results
Blast test 2
Blast test 3
Blast test 5
Conclusions
Limitations of digital image analytical method
Full Text
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