Semi-implicit BDF time discretization of the Navier–Stokes equations with VMS-LES modeling in a High Performance Computing framework

•Semi-implicit BDF time discretization of the Navier–Stokes equations with VMS-LES modeling.•A parallel multigrid preconditioner is defined and applied.•The choice of the stabilization parameters for the VMS-LES formulation is discussed.•The benchmark of the flow past a squared cylinder at Reynolds...

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Bibliographic Details
Published in:Computers & fluids Vol. 117; pp. 168 - 182
Main Authors: Forti, Davide, Dedè, Luca
Format: Journal Article
Language:English
Published: Elsevier Ltd 31.08.2015
Subjects:
Backward Differentiation Formulas
Computer simulation
Cylinders
Discretization
Finite Element method
High Performance Computing
Large Eddy Simulation
Linear systems
Marine
Mathematical analysis
Mathematical models
Navier-Stokes equations
Turbulent flow
Variational Multiscale modeling
Navier–Stokes equations
High Performance Computing
Backward Differentiation Formulas
Finite Element method
Variational Multiscale modeling
Large Eddy Simulation
ISSN:0045-7930, 1879-0747
Online Access:Get full text
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Summary:•Semi-implicit BDF time discretization of the Navier–Stokes equations with VMS-LES modeling.•A parallel multigrid preconditioner is defined and applied.•The choice of the stabilization parameters for the VMS-LES formulation is discussed.•The benchmark of the flow past a squared cylinder at Reynolds number 22,000 is solved. In this paper, we propose a semi-implicit approach for the time discretization of the Navier–Stokes equations with Variational Multiscale-Large Eddy Simulation turbulence modeling (VMS-LES). For the spatial approximation of the problem, we use the Finite Element method, while we employ the Backward Differentiation Formulas (BDF) for the time discretization. We treat the nonlinear terms arising in the variational formulation of the problem with a semi-implicit approach leading to a linear system associated to the fully discrete problem which needs to be assembled and solved only once at each discrete time instance. We solve this linear system by means of the GMRES method by employing a multigrid (ML) right preconditioner for the parallel setting. We validate the proposed fully discrete scheme towards the benchmark problem of the flow past a squared cylinder at high Reynolds number and we show the computational efficiency and scalability results of the solver in a High Performance Computing framework.
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ISSN:0045-7930
1879-0747
DOI:10.1016/j.compfluid.2015.05.011