Statistical reconstruction of three-dimensional porous media from two-dimensional images

Roberts, Anthony P. (1997) Statistical reconstruction of three-dimensional porous media from two-dimensional images. Physical Review E, 56 3: 3203-3212. doi:10.1103/PhysRevE.56.3203

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Author Roberts, Anthony P.
Title Statistical reconstruction of three-dimensional porous media from two-dimensional images
Journal name Physical Review E   Check publisher's open access policy
ISSN 1063-651X
Publication date 1997-09-01
Year available 1997
Sub-type Article (original research)
DOI 10.1103/PhysRevE.56.3203
Open Access Status File (Publisher version)
Volume 56
Issue 3
Start page 3203
End page 3212
Total pages 10
Place of publication College Park, MD, United States
Publisher American Physical Society
Language eng
Abstract A method of modeling the three-dimensional microstructure of random isotropic two-phase materials is proposed. The information required to implement the technique can be obtained from two-dimensional images of the microstructure. The reconstructed models share two-point correlation and chord-distribution functions with the original composite. The method is designed to produce models for computationally and theoretically predicting the effective macroscopic properties of random materials (such as electrical and thermal conductivity, permeability and elastic moduli). To test the method we reconstruct the morphology and predict the conductivity of the well known overlapping sphere model. The results are in very good agreement with data for the original model.
Keyword Physics, Fluids & Plasmas
Physics, Mathematical
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Mathematics and Physics
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Citation counts: TR Web of Science Citation Count  Cited 122 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 133 times in Scopus Article | Citations
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Created: Mon, 14 Feb 2011, 22:00:41 EST