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Numerical estimation of effective diffusion coefficients for charged porous materials based on micro-scale analyses
Authors:Arash Mohajeri  Guillermo A Narsilio  Peter Pivonka  David W Smith
Institution:1. Melbourne Engineering Research Institute (MERIT), Department of Civil and Environmental Engineering, The University of Melbourne, Parkville, VIC 3010, Australia;2. School of Computer Science and Software Engineering, The University of Western Australia, Crawley, WA 6009, Australia;3. Faculty of Engineering, Computing and Mathematics, The University of Western Australia (M017), Crawley, WA 6009, Australia
Abstract:In order to describe diffusive transport of solutes through a porous material, estimation of effective diffusion coefficients is required. It has been shown theoretically that in the case of uncharged porous materials the effective diffusion coefficient of solutes is a function of the pore morphology of the material and can be described by the tortuosity (tensor) (Bear, 1988 1]). Given detailed information of the pore geometry at the micro-scale the tortuosity of different materials can be accurately estimated using homogenization procedures. However, many engineering materials (e.g., clays and shales) are characterized by electrical surface charges on particles of the porous material which strongly affect the (diffusive) transport properties of ions. For these type of materials, estimation of effective diffusion coefficients have been mostly based on phenomenological equations with no link to underlying micro-scale properties of these charged materials although a few recent studies have used alternative methods to obtain the diffusion parameters (Jougnot et al., 2009; Pivonka et al., 2009; Revil and Linde, 2006 2, 3 and 4). In this paper we employ a recently proposed up-scaled Poisson–Nernst–Planck type of equation (PNP) and its micro-scale counterpart to estimate effective ion diffusion coefficients in thin charged membranes. We investigate a variety of different pore geometries together with different surface charges on particles. Here, we show that independent of the charges on particles, a (generalized) tortuosity factor can be identified as function of the pore morphology only using the new PNP model. On the other hand, all electro-static interactions of ions and charges on particles can consistently be captured by the ratio of average concentration to effective intrinsic concentration in the macroscopic PNP equations. Using this formulation allows to consistently take into account electrochemical interactions of ions and charges on particles and so excludes any ambiguity generally encountered in phenomenological equations.
Keywords:Effective diffusion coefficient  Tortuosity  Clays  Multi-scale  Poisson&ndash  Nernst&ndash  Planck equation  Numerical modeling
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