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Stochastic Reconstruction of Particulate Media from Two-Dimensional Images

✍ Scribed by M.S. Talukdar; O. Torsaeter; M.A. Ioannidis

Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
332 KB
Volume
248
Category
Article
ISSN
0021-9797

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✦ Synopsis

In this contribution we address the problem of reconstructing particulate media from limited morphological information that may be readily extracted from 2D images of their microstructure. Sixty-five backscatter SEM images of the microstructure of a lightly consolidated pack of glass spheres are analyzed to determine morphological descriptors, such as the pore-pore autocorrelation function and pore and solid phase chord distributions. This information is then used to constrain the stochastic reconstruction of the glass sphere packing in two dimensions using a simulated annealing method. The results obtained demonstrate that the solid-phase chord distribution contains additional information that is critical for the reconstruction of the morphology of particulate media exhibiting short-range order. We further confirm this finding by successfully reconstructing the microstructure of a pack of irregular silica particles.

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