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Pore-Scale Modeling of Navier-Stokes Flow in Distensible Networks and Porous Media

Taha Sochi1

University College London, Department of Physics & Astronomy, Gower Street, London, WC1E6BT. Email: t.sochi@ucl.ac.uk.

Computer Modeling in Engineering & Sciences 2014, 99(2), 151-168. https://doi.org/10.3970/cmes.2014.099.151

Abstract

In this paper, a pore-scale network modeling method, based on the flow continuity residual in conjunction with a Newton-Raphson non-linear iterative solving technique, is proposed and used to obtain the pressure and flow fields in a network of interconnected distensible ducts representing, for instance, blood vasculature or deformable porous media. A previously derived analytical expression correlating boundary pressures to volumetric flow rate in compliant tubes for a pressure-area constitutive elastic relation has been used to represent the underlying flow model. Comparison to a preceding equivalent method, the one-dimensional Navier-Stokes finite element, was made and the results were analyzed. The advantages of the new method have been highlighted and practical computational issues, related mainly to the rate and speed of convergence, have been discussed.

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APA Style
Sochi, T. (2014). Pore-scale modeling of navier-stokes flow in distensible networks and porous media. Computer Modeling in Engineering & Sciences, 99(2), 151-168. https://doi.org/10.3970/cmes.2014.099.151
Vancouver Style
Sochi T. Pore-scale modeling of navier-stokes flow in distensible networks and porous media. Comput Model Eng Sci. 2014;99(2):151-168 https://doi.org/10.3970/cmes.2014.099.151
IEEE Style
T. Sochi, “Pore-Scale Modeling of Navier-Stokes Flow in Distensible Networks and Porous Media,” Comput. Model. Eng. Sci., vol. 99, no. 2, pp. 151-168, 2014. https://doi.org/10.3970/cmes.2014.099.151



cc Copyright © 2014 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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