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Journal Articles Physical Review E : Statistical, Nonlinear, and Soft Matter Physics Year : 2014

Pore network model of electrokinetic transport through charged porous media.

Abstract

We introduce amethod for the numerical determination of the steady-state response of complex charged porous media to pressure, salt concentration, and electric potential gradients. The macroscopic fluxes of solvent, salt, and charge are computed within the framework of the Pore Network Model (PNM), which describes the pore structure of the samples as networks of pores connected to each other by channels. The PNM approach is used to capture the couplings between solvent and ionic flows which arise from the charge of the solid surfaces. For the microscopic transport coefficients on the channel scale, we take a simple analytical form obtained previously by solving the Poisson-Nernst-Planck and Stokes equations in a cylindrical channel. These transport coefficients are upscaled for a given network by imposing conservation laws for each pores, in the presence of macroscopic gradients across the sample. The complex pore structure of the material is captured by the distribution of channel diameters. We investigate the combined effects of this complex geometry, the surface charge, and the salt concentration on the macroscopic transport coefficients. The upscaled numerical model preserves the Onsager relations between the latter, as expected. The calculated macroscopic coefficients behave qualitatively as their microscopic counterparts, except for the permeability and the electro-osmotic coupling coefficient when the electrokinetic effects are strong. Quantitatively, the electrokinetic couplings increase the difference between the macroscopic coefficients and the corresponding ones for a single channel of average diameter.
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Dates and versions

hal-01025807 , version 1 (15-11-2023)

Identifiers

Cite

Amaël Obliger, Marie Jardat, Daniel Coelho, Samir Bekri, Benjamin Rotenberg. Pore network model of electrokinetic transport through charged porous media.. Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, 2014, 89 (4), pp.article No 043013. ⟨10.1103/PhysRevE.89.043013⟩. ⟨hal-01025807⟩
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