Spectral Model of Non-Stationary, Inhomogeneous Turbulence

TL;DR

This paper evaluates a spectral turbulence model against DNS data for a shear-free mixing layer, showing it captures key features at longer times but struggles with short-time anisotropy due to local pressure-transport approximations.

Contribution

It provides a detailed comparison of a spectral turbulence model with DNS data for inhomogeneous flows, highlighting its strengths and limitations.

Findings

Model accurately predicts mixing-layer width evolution

Model captures turbulent kinetic energy growth

Discrepancies linked to local pressure-transport approximation

Abstract

We compare results from a spectral model for non-stationary, inhomogeneous turbulence (Besnard et al., Theor. Comp. Fluid. Dyn., vol. 8, pp 1-35, 1996) with Direct Numerical Simulation (DNS) data of a shear-free mixing layer (SFML) (Tordella et al., Phys. Rev. E, vol. 77, 016309, 2008). The SFML is used as a test case in which the efficacy of the model closure for the physical-space transport of the fluid velocity field can be tested in a flow with inhomogeneity, without the additional complexity of mean-flow coupling. The model is able to capture certain features of the SFML quite well for intermediate to long-times, including the evolution of the mixing-layer width and turbulent kinetic energy. At short-times, and for more sensitive statistics such as the generation of the velocity field anisotropy, the model is less accurate. We present arguments, supported by the DNS data, that a significant cause of the discrepancies is the local approximation to the intrinsically non-local pressure-transport in physical-space that was made in the model, the effects of which would be particularly strong at short-times when the inhomogeneity of the SFML is strongest.