Numerical analysis of a porous natural convection system with vorticity and viscous dissipation

Abstract In this paper we propose and analyse a new formulation and pointwise divergence-free mixed finite element methods for the numerical approximation of Darcy–Brinkman equations in vorticity–velocity–pressure form, coupled with a transport equation for thermal energy with viscous dissipative effect and mixed Navier-type boundary conditions. The solvability analysis of the continuous and discrete problems is significantly more involved than usual as it hinges on Banach spaces needed to properly control the advective and dissipative terms in the non-isothermal energy balance equation. We proceed by decoupling the set of equations and use the Banach fixed-point theorem in combination with the abstract theory for perturbed saddle-point problems. Some of the necessary estimates are straightforward modifications of well-known results, while other technical tools require a more elaborated analysis. The velocity is approximated by Raviart–Thomas elements, the vorticity uses Nédélec spaces of the first kind, the pressure is approximated by piecewise polynomials, and the temperature by continuous and piecewise polynomials of one degree higher than pressure. Special care is needed to establish discrete inf-sup conditions since the curl of the discrete vorticity is not necessarily contained in the discrete velocity space, therefore suggesting to use two different Raviart–Thomas interpolants. A discrete fixed-point argument is used to show well-posedness of the Galerkin scheme. Error estimates in appropriate norms are derived, and a few representative numerical examples in 2D and 3D and with mixed boundary conditions are provided.

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Publication Details

Journal
Numerische Mathematik
Published
2026-03-21
DOI
https://doi.org/10.1007/s00211-026-01536-4
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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Numerical analysis of a porous natural convection system with vorticity and viscous dissipation

Russel Demos, Ricardo Ruiz-Baier, Segundo Villa-Fuentes, Rashmi Dubey
Numerische Mathematik
Advanced Numerical Methods in Computational Mathematics
article

Numerical analysis of a porous natural convection system with vorticity and viscous dissipation

Russel Demos, Ricardo Ruiz-Baier, Segundo Villa-Fuentes, Rashmi Dubey
article en

Abstract

Abstract In this paper we propose and analyse a new formulation and pointwise divergence-free mixed finite element methods for the numerical approximation of Darcy–Brinkman equations in vorticity–velocity–pressure form, coupled with a transport equation for thermal energy with viscous dissipative effect and mixed Navier-type boundary conditions. The solvability analysis of the continuous and discrete problems is significantly more involved than usual as it hinges on Banach spaces needed to properly control the advective and dissipative terms in the non-isothermal energy balance equation. We proceed by decoupling the set of equations and use the Banach fixed-point theorem in combination with the abstract theory for perturbed saddle-point problems. Some of the necessary estimates are straightforward modifications of well-known results, while other technical tools require a more elaborated analysis. The velocity is approximated by Raviart–Thomas elements, the vorticity uses Nédélec spaces of the first kind, the pressure is approximated by piecewise polynomials, and the temperature by continuous and piecewise polynomials of one degree higher than pressure. Special care is needed to establish discrete inf-sup conditions since the curl of the discrete vorticity is not necessarily contained in the discrete velocity space, therefore suggesting to use two different Raviart–Thomas interpolants. A discrete fixed-point argument is used to show well-posedness of the Galerkin scheme. Error estimates in appropriate norms are derived, and a few representative numerical examples in 2D and 3D and with mixed boundary conditions are provided.

Numerische Mathematik
Universidad Adventista de Chile (CL), Monash University (AU), University of Petroleum and Energy Studies (IN)
Affordable and clean energy
Openalex Percentile: Top 11%
Advanced Numerical Methods in Computational Mathematics
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