Abstract
A technology for scale-resolving simulations of turbulent flows in the problems of aerodynamics and aeroacoustics is presented. It is based on the higher accuracy numerical schemes on unstructured mixed-element meshes and latest non-zonal hybrid approaches combining Reynoldsaveraged Navier – Stokes (RANS) and Large eddy simulation (LES) methods for turbulence modeling. It targets a wide range of high performance computing (HPC) systems, from a compute server or small cluster to an exascale supercomputer. The advantages of the key components of the technology are summarized. These key components are a hybrid RANS-LES turbulence modeling method, a numerical scheme for discretization in space, a parallel algorithm, and a portable software implementation for modern hybrid systems with extra massive parallelism. Examples of our simulations are given and parallel performance on various HPC systems is presented.
Highlights
Hyrbid Reynolds-averaged Navier – Stokes (RANS)-Large Eddy Simulation (LES) methods are widely recognized as the most efficient ones in terms of cost/accuracy ratio in many computational aerodynamics and aeroacoustics applications [6, 11]
The evolution of high-accuracy schemes and turbulence models is aimed at reducing requirements for mesh resolution, which leads to a significant reduction in computational costs
The present work is devoted to the successful choice of these main components of the simulation technology: hybrid turbulence modeling approaches, high-accuracy numerical schemes, parallel algorithms and portable software implementation for hybrid supercomputers
Summary
Hyrbid RANS-LES methods are widely recognized as the most efficient ones in terms of cost/accuracy ratio in many computational aerodynamics and aeroacoustics applications [6, 11]. Such methods combine Reynolds-averaged Navier – Stokes (RANS) and Large Eddy Simulation (LES) turbulence models. The development of parallel algorithms and heterogeneous software implementations ensures efficient use of modern hybrid supercomputers. The present work is devoted to the successful choice of these main components of the simulation technology: hybrid turbulence modeling approaches, high-accuracy numerical schemes, parallel algorithms and portable software implementation for hybrid supercomputers. A combination of these key components is proposed and the advantages of the selected state-of-the-art methods are outlined
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