Direct numerical simulation and large-eddy simulation of stationary buoyancy-driven turbulence

Direct numerical simulation and large-eddy simulation of stationary buoyancy-driven turbulence

We report direct numerical simulation (DNS) and large-eddy simulation (LES) of statistically stationary buoyancy-driven turbulent mixing of an active scalar. We use an adaptation of the fringe-region technique, which continually supplies the flow with unmixed fluids at two opposite faces of a triply periodic domain in the presence of gravity, effectively maintaining an unstably stratified, but ...

Large Eddy Simulation: Turbulence Project

High performance computation for direct numerical and large eddy simulation

This paper focusses on high order compact schemes for direct numerical simulation (dns) and large eddy simulation (les) for flow separation, transition, tip vortex, and flow control. We discuss the fundamental issues of high quality grid generation, high order schemes for curvilinear coordinates, the cfl condition for complex geometry, and high-order weighted compact schemes for shock capturing...

Large Eddy Simulation and Turbulence Control

This paper reviews LES methods, based on the dynamic subgrid-scale model, that greatly improve the efficiency of turbulence control simulations in the context of drag reduction for plane turbulent channel flow. We begin by performing simulations of opposition control at Reynolds numbers in the range Reτ = 100 to 590 which demonstrate a decrease in effectiveness of this control strategy with inc...

Turbulent Combustion Simulation by Large Eddy Simulation and Direct Numerical Simulation

Combustion is a natural phenomenon. It happens in forest, automotive engine and gas cooker. In Computational Fluid Dynamics (CFD), the combustion phenomenon complies with a set of partial differential equations. According to the resolution scale, from big to small, the simulation methods in combustion are Reynolds Averaged Navior Stokes method (RANS), Large Eddy Simulation (LES), and Direct Num...