A reduced order variational multiscale approach for turbulent flows
arXiv:1809.11101 · doi:10.1007/s10444-019-09712-x
Abstract
The purpose of this work is to present a reduced order modeling framework for parametrized turbulent flows with moderately high Reynolds numbers within the variational multiscale (VMS) method. The Reduced Order Models (ROMs) presented in this manuscript are based on a POD-Galerkin approach with a VMS stabilization technique. Two different reduced order models are presented, which differ on the stabilization used during the Galerkin projection. In the first case the VMS stabilization method is used at both the full order and the reduced order level. In the second case, the VMS stabilization is used only at the full order level, while the projection of the standard Navier-Stokes equations is performed instead at the reduced order level. The former method is denoted as consistent ROM, while the latter is named non-consistent ROM, in order to underline the different choices made at the two levels. Particular attention is also devoted to the role of inf-sup stabilization by means of supremizers in ROMs based on a VMS formulation. Finally, the developed methods are tested on a numerical benchmark.
References in corpus (4)
- Data-Driven POD-Galerkin Reduced Order Model for Turbulent Flows
- Stabilized reduced basis methods for parametrized steady Stokes and Navier-Stokes equations
- The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: from Laminar to Turbulent Flows
- Projection-based reduced order models for a cut finite element method in parametrized domains
Cited by in corpus (22)
- Data-Driven POD-Galerkin Reduced Order Model for Turbulent Flows
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