Open Access

Downloads

Download data is not yet available.

Abstract

Solute diffusion is a key process in many fields like for example material science or environmental engineering. Diffusion mechanism in porous media is often described by Fick’s law. However, we could not use this law for nonstandard diffusion behaviors occurring in cases of heterogeneous media. The conception of double-porosity medium can be applied to a class of such media. The double-porosity medium is characterized by two distinct pore sizes: macro-porosity domain and micro-porosity domain, respectively, having the contrasted hydraulic properties. This paper presents the development of a macroscopic model for the solute diffusion in unsaturated double-porosity medium, by using homogenization method. The obtained macroscopic model is a system of two equations coupling on the interface of the macro- and micro-porosity domain for diffusion. This model contains the effective diffusion tensor representing for the entire medium. The developed model is verified by comparing with the reference solution of the fine scale model through a 3D numerical example of hydrogeology problem.



Author's Affiliation
Article Details

Issue: Vol 20 No K7 (2017)
Page No.: 68-75
Published: Nov 27, 2018
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v20iK7.1213

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Tran, D., Pham, Q., Nguyen, T., Bui, T., & Tran, T. (2018). A model of solute diffusion in unsaturated double-porosity medium by homogenization. Science and Technology Development Journal, 20(K7), 68-75. https://doi.org/https://doi.org/10.32508/stdj.v20iK7.1213

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 1501 times
Download PDF   = 942 times
Total   = 942 times