Litcius/Paper detail

Theory-based Reynolds-averaged Navier–Stokes equations with large eddy simulation capability for separated turbulent flow simulations

Stefan Heinz, Reza Mokhtarpoor, Michael Stoellinger

2020Physics of Fluids65 citationsDOI

Abstract

The prediction and investigation of very high Reynolds number turbulent wall flows pose a significant challenge: experimental studies and large eddy simulation (LES) are often inapplicable to these flows, and Reynolds-averaged Navier–Stokes (RANS) methods often fail to characterize the essential flow characteristics, in particular, for separated flows. These facts explain the need for the development of hybrid RANS-LES methods. The predominant approach to deal with this question is the combination of RANS and LES equation elements. This often implies shortcomings in simulations: the lack of control of modeled and resolved motions, which are involved in hybrid simulations, can lead to inconsistencies and imbalances. A novel approach based on a theoretical solution to the latter problem (referred to as continuous eddy simulation method) is investigated here via simulations of periodic hill flows (involving flow separation and reattachment) for a range of very high Reynolds numbers. We study the mechanism and simulation performance of these new hybrid methods. The results presented demonstrate their excellent performance and advantages to differently designed hybrid methods. We also consider the reliability of flow predictions for which data for model validation are unavailable. Criteria for the reliability of such hybrid simulations are suggested. It is shown that the new hybrid method satisfy these criteria for reliable flow predictions. The results indicate the existence of an asymptotic flow regime far above Reynolds numbers that can be realized in experimental studies and resolved LES.

Topics & Concepts

Reynolds-averaged Navier–Stokes equationsTurbulenceReynolds numberPhysicsLarge eddy simulationFlow (mathematics)Reynolds stress equation modelMechanicsStatistical physicsHele-Shaw flowApplied mathematicsK-epsilon turbulence modelMathematicsK-omega turbulence modelFluid Dynamics and Turbulent FlowsAerodynamics and Acoustics in Jet FlowsModel Reduction and Neural Networks