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April 18, 2026CALCOLO0 citationsOpen Access

Robust Arrow–Hurwicz method for high–Rayleigh number Boussinesq flow

ATAziz TakhirovMAMustafa AggulSESinan Ergen

Key Points

  • The aim is to improve numerical solutions for Boussinesq flows with complex boundary conditions, ensuring stability and convergence.
  • Developed an Arrow–Hurwicz iterative method for Boussinesq flows.
  • Incorporated an update for the temperature equation to enhance stability.
  • Avoided solving saddle-point systems in each iteration, resulting in a decoupled algorithm.
  • Conducted extensive numerical experiments in two and three dimensions to validate the method.
  • Established existence, uniqueness, and convergence for the proposed method under small-data assumptions.
  • Demonstrated significant acceleration over competing methods such as the Penalty–Picard iteration.
  • Verified robust convergence in regimes with high Rayleigh numbers.

Abstract

We develop and analyze a robust Arrow–Hurwicz (AH) iterative method for the numerical solution of steady Boussinesq flows with nonhomogeneous partitioned Dirichlet boundary conditions. Although a direct AH formulation may be applied to the momentum equation alone, we demonstrate that incorporating an AH-type update for the temperature equation is crucial for stability and convergence in buoyancy-driven systems, particularly at high Rayleigh numbers. The resulting Improved Arrow–Hurwicz (IAH) scheme avoids solving saddle-point systems at each iteration and yields a fully decoupled algorithm with low computational cost per step. We establish existence, uniqueness, uniform boundedness, and convergence under standard small-data assumptions, and provide corresponding error estimates for the finite element discretization. Extensive two- and three-dimensional numerical experiments verify the theoretical findings, demonstrate significant acceleration over the alternative AH scheme and the Penalty–Picard iteration, and confirm robust convergence in high–Rayleigh number regimes. The proposed method offers a scalable and efficient solver for steady natural convection and provides a promising alternative to continuation-based approaches traditionally used for high–Rayleigh flows.

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Cite This Study

Takhirov et al. (2026) studied this question.

synapsesocial.com/papers/69e320fd40886becb65401d9https://doi.org/10.1007/s10092-026-00690-3
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