On predicting the turbulence-induced secondary flows using nonlinear k-ε models

• DOI: 10.1063/1.868968
• Publication Date: 2002-07-26T12:10:31Z
• Authors: G. Mompean; S. Gavrilakis; L. Machiels; M. O. Deville
• Keywords: Reynolds stress; Realizability; Reynolds decomposition

Low turbulent Reynolds number direct simulation data are used to calculate the invariants of stress and dissipation rate in a square duct. The results show that, depending on region where analysis is carried out, flow field comes close one-, two-, three-component states. Modeling such flows—even at higher numbers—will require models that can approach all three A related nonlinear k-ε tested priori using data. numerical averaged Navier–Stokes equations with these was performed. Their ability predict secondary flows, low-Reynolds model, cannot be gauged from realizability.