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Article . 2018
License: CC BY NC SA
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Heterogeneous Porous Media Simulation

Authors: Dazeo, Nicolás Ignacio; Dottori, Javier Alejandro; Boroni, Gustavo Adolfo; Larrabide, Ignacio;

Heterogeneous Porous Media Simulation

Abstract

Intracranial aneurysms are vascular disorders in which weakness in the wall of a cerebral artery or vein causes a localized dilation of the blood vessel. Flow diversion is an endovascular technique where a flow diverter stent is placed in the parent blood vessel to divert blood flow away from the aneurysm itself. Simulation by computational fluid dynamics is an attractive method to study flow diverters, particularly to model the small gaps between stent struts as a porous media. In many cases obstructions are not equal across the free medium and the porous one must be heterogeneous. Finite Volume Method solves numerical problems of computational fluid dynamics, splitting the region of interest in cells of small volumes. Porous media are usually modeled as a set of simulation cells described in a dictionary with constant porosity parameters (Homogeneous medium). An heterogeneous medium can be described as multiple homogeneous media, one by one. However, creating multiple homogeneous porous media is a tedious job if each simulation cell requires different parameters. Also, porous medium sets creates overheads on memory and processor load. The open source tool OpenFOAM is a open source C++ toolbox for field operations and partial differential equations solving using Finite Volume Method, including computational fluid dynamics. The tool is well prepared to describe heterogeneous fields. In this work, porous media coefficients are described as tensor fields. A steady state flow solver considering this fields is developed. The fidelity of the solver is then studied qualitatively and quantitatively.

Fil: Dottori, Javier Alejandro. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina

Fil: Dazeo, Nicolás Ignacio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina

Fil: Boroni, Gustavo Adolfo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina

Fil: Larrabide, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina

Country
Argentina
Keywords

Finite Volume Method, OpenFOAM, https://purl.org/becyt/ford/1.2, Porous Media, CFD, https://purl.org/becyt/ford/1

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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