GPU-accelerated DNS of compressible turbulent flows

GPU-Accelerated Large-Eddy Simulation of Turbulent Channel Flows

A dynamic characteristic filter for DNS/LES of compressible turbulent flows

We propose a novel shock-capturing method that is based on the ideas of characteristic filters and dynamic suboptimal control. A cost function is based on the smoothness of the solution, and formally minimized to obtain the unknown coefficient in the shock-capturing numerical fluxes. The proposed dynamic procedure is applied to one–dimensional Euler equation equation and two–dimensional Navier–...

Multigrid Acceleration of Time-accurate Dns of Compressible Turbulent Flow

An efficient scheme for the direct numerical simulation of 3D transitional and developed turbulent flow is presented. Explicit and implicit time integration schemes for the compressible Navier-Stokes equations are compared. The nonlinear system resulting from the implicit time discretization is solved with an iterative method and accelerated by the application of a multigrid technique. Since we...

DNS study of scalar transport in a compressible turbulent jet

Parallel Dns Using a Compressible Turbulent Channel Flow Benchmark

In recent years, the increased use of off-the-shelf components and the large-scale adoption of parallel computing have led to a dramatic reduction in the costs associated with high-performance computing. This has enabled increased usage of compute-intensive methods, such as Direct Numerical Simulation (DNS), for the simulation of turbulent flows. We introduce a sophisticated DNS code that incor...