Least-squares pressure recovery in reduced order methods for incompressible flows - Laboratoire des Sciences de l'Ingénieur pour l'Environnement
Article Dans Une Revue Journal of Computational Physics Année : 2024

Least-squares pressure recovery in reduced order methods for incompressible flows

Résumé

In this work, we introduce a method to recover the reduced pressure for Reduced Order Models (ROMs) of incompressible flows. The pressure is obtained as the least-squares minimum of the residual of the reduced velocity with respect to a dual norm. We prove that this procedure provides a unique solution whenever the full-order pair of velocity-pressure spaces is inf-sup stable. We also prove that the proposed method is equivalent to solving the reduced mixed problem with reduced velocity basis enriched with the supremizers of the reduced pressure gradients. Optimal error estimates for the reduced pressure are obtained for general incompressible flow equations and specifically, for the transient Navier-Stokes equations. We also perform some numerical tests for the flow past a cylinder and the lid-driven cavity flow which confirm the theoretical expectations, and show an improved convergence with respect to other pressure recovery methods.

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Dates et versions

hal-04792454 , version 1 (20-11-2024)

Identifiants

Citer

Mejdi Azaiez, T. Chacón Rebollo, M. Oulghelou, I. Sánchez Muñoz. Least-squares pressure recovery in reduced order methods for incompressible flows. Journal of Computational Physics, 2024, 519, pp.113397. ⟨10.1016/j.jcp.2024.113397⟩. ⟨hal-04792454⟩
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