Analysis of a semi-augmented mixed finite element method for double-diffusive natural convection in porous media

TL;DR

This paper develops and analyzes a semi-augmented mixed finite element method for simulating double-diffusive natural convection in porous media, providing theoretical guarantees and numerical validation of its accuracy and convergence.

Contribution

It introduces a novel semi-augmented mixed finite element scheme for a complex coupled system, with proven well-posedness, convergence, and optimal error estimates.

Findings

The scheme is well-posed and convergent under certain regularity assumptions.

Optimal a priori error estimates are established.

Numerical examples confirm the theoretical accuracy and performance.

Abstract

In this paper we study a stationary double-diffusive natural convection problem in porous media given by a Navier-Stokes/Darcy type system, for describing the velocity and the pressure, coupled to a vector advection-diffusion equation describing the heat and substance concentration, of a viscous fluid in a porous media with physical boundary conditions. The model problem is rewritten in terms of a first-order system, without the pressure, based on the introduction of the strain tensor and a nonlinear pseudo-stress tensor in the fluid equations. After a variational approach, the resulting weak model is then augmented using appropriate redundant penalization terms for the fluid equations along with a standard primal formulation for the heat and substance concentration. Then, it is rewritten as an equivalent fixed-point problem. Well-posedness and uniqueness results for both the continuous and the discrete schemes are stated, as well as the respective convergence result under certain regularity assumptions combined with the Lax-Milgram theorem, and the Banach and Brouwer fixed-point theorems. In particular, Raviart-Thomas elements of order $k$ are used for approximating the pseudo-stress tensor, piecewise polynomials of degree $ \leq k$ and $\leq k+1$ are utilized for approximating the strain tensor and the velocity, respectively, and the heat and substance concentration are approximated by means of Lagrange finite elements of order $\leq k+1$. Optimal a priori error estimates are derived and confirmed through some numerical examples that illustrate the performance of the proposed semi-augmented mixed-primal scheme.