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铁道科学与工程学报

JOURNAL OF RAILWAY SCIENCE AND ENGINEERING

Vol. 18    No. 6    December 2008

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Fractal analysis of granular ore media based on
computed tomography image processing
WU Ai-xiang(吴爱祥)1, 2, YANG Bao-hua(杨保华)1, 3, ZHOU Xu(周 旭)1

1. School of Resources and Safety Engineering, Central South University, Changsha 410083, China;
2. School of Civil and Environment Engineering, University of Science and Technology Beijing,
Beijing 100083, China;
3. Department of Electricity and Information Engineering, Hunan International Economics University,
Changsha 410205, China

Abstract:The cross-sectional images of nine groups of ore samples were obtained by X-ray computed tomography(CT) scanner. Based on CT image analysis, the fractal dimensions of solid matrix, pore space and matrix/pore interface of each sample were measured by using box counting method. The correlation of the three fractal dimensions with particle size, porosity, and seepage coefficient was investigated. The results show that for all images of these samples, the matrix phase has the highest dimension, followed by the pore phase, and the dimension of matrix-pore interface has the smallest value; the dimensions of matrix phase and matrix-pore interface are negatively and linearly correlated with porosity while the dimension of pore phase relates positively and linearly with porosity; the fractal dimension of matrix-pore interface relates negatively and linearly with seepage coefficient. Larger fractal dimension of matrix/pore interface indicates more irregular complicated channels for solution flow, resulting in low permeability.

 

Key words: granular ore media; CT image; fractal dimension; box counting method

ISSN 1672-7029
CN 43-1423/U

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