A Rotational Projection Scheme for the Navier–Stokes Equations Coupled with a Heat Equation with Temperature-Dependent Coefficients

This paper presents a new algorithm based on splitting methods for the numerical solution of the Navier–Stokes equations coupled with the heat equation. This work is set in a context where viscosity and thermal conductivity depend explicitly on temperature We propose an extension of the Coupled Prediction Scheme based on a rotational projection formulation, noted as the Rotational Coupled Prediction Scheme (RCPS). The accuracy and effectiveness of the proposed numerical scheme are demonstrated through a series of numerical tests, and the results obtained are compared with those already existing in the literature. In particular, the Rayleigh–Bénard convection (RBC) problem was used as a reference benchmark.

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Publication Details

Journal
AppliedMath
Published
2026-08-18
DOI
https://doi.org/10.3390/appliedmath6080137
Primary Topic
Model Reduction and Neural Networks
Type
article
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article

A Rotational Projection Scheme for the Navier–Stokes Equations Coupled with a Heat Equation with Temperature-Dependent Coefficients

K. Benmoussa, Aicha Ait Bakrim
AppliedMath
Model Reduction and Neural Networks
article

A Rotational Projection Scheme for the Navier–Stokes Equations Coupled with a Heat Equation with Temperature-Dependent Coefficients

K. Benmoussa, Aicha Ait Bakrim
article en

Abstract

This paper presents a new algorithm based on splitting methods for the numerical solution of the Navier–Stokes equations coupled with the heat equation. This work is set in a context where viscosity and thermal conductivity depend explicitly on temperature We propose an extension of the Coupled Prediction Scheme based on a rotational projection formulation, noted as the Rotational Coupled Prediction Scheme (RCPS). The accuracy and effectiveness of the proposed numerical scheme are demonstrated through a series of numerical tests, and the results obtained are compared with those already existing in the literature. In particular, the Rayleigh–Bénard convection (RBC) problem was used as a reference benchmark.

AppliedMathVol. 6(8)
Université Ibn Zohr (MA)
Affordable and clean energy
Openalex Percentile: Top 9%
Model Reduction and Neural Networks
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