Approximate Deconvolution Leray Reduced Order Model for Convection-Dominated Flows
arXiv:2307.10817 · doi:10.1016/j.finel.2023.104021
Abstract
In this paper, we propose a novel ROM stabilization strategy for under-resolved convection-dominated flows, the approximate deconvolution Leray ROM (ADL-ROM). The new ADL-ROM introduces AD as a new means to increase the accuracy of the classical Leray ROM (L-ROM) without degrading its numerical stability. We also introduce two new AD ROM strategies: the Tikhonov and van Cittert methods. Our numerical investigation for convection-dominated systems shows that, when the filter radius is relatively large, the new ADL-ROM is more accurate than the standard L-ROM. Furthermore, the new ADL-ROM is less sensitive with respect to model parameters than L-ROM.
References in corpus (13)
- The Navier-Stokes-alpha model of fluid turbulence
- Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier-Stokes equations
- Regularization modeling for large-eddy simulation
- On the stability of projection-based model order reduction for convection-dominated laminar and turbulent flows
- Data-Driven Variational Multiscale Reduced Order Models
- A POD-Galerkin reduced order model for a LES filtering approach
- Stabilized reduced basis methods for parametrized steady Stokes and Navier-Stokes equations
- Stabilized weighted reduced basis methods for parametrized advection dominated problems with random inputs
- Weighted reduced order methods for parametrized partial differential equations with random inputs
- Robust model identification of actuated vortex wakes
- Regularized Reduced Order Models for a Stochastic Burgers Equation
- A Streamline upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations under Optimal Control
- A Reduced basis stabilization for the unsteady Stokes and Navier-Stokes equations