An improved helical subgrid-scale model and large-eddy simulation methods in helical turbulence

TL;DR

This paper introduces an improved helical subgrid-scale model and four dynamic LES methods for helical turbulence, demonstrating enhanced accuracy in energy and helicity predictions compared to existing models.

Contribution

The paper proposes a new two-term helical SGS model and four dynamic LES procedures, including constrained models, improving prediction accuracy in helical turbulence simulations.

Findings

Constrained helical models better predict energy and helicity dissipation.

New models show higher correlation with SGS stress.

Dynamic models outperform the standard approach.

Abstract

For helical isotropic turbulence, an improved two-term helical subgrid-scale (SGS) model is proposed and four types of dynamic methods are given to do large-eddy simulation (LES), which include the standard dynamic procedure, the least quatratic sum dynamic procedure, the dynamic procedure with single con- straint of helicity dissipation and the dynamic one with dual constraints of energy and helicity dissipation. Tested a priori and a posteriori in both steady and decaying helical isotropic turbulence, the four types of dynamic helical models and the dynamic Smogorinsky model are compared with results of direct numerical simulations (DNS) together. Numerical results demonstrate that the three new types of dynamic helical models predict energy and helicity evolution better than the standard dynamic helical model, and the two constrained helical models predict the energy and helicity dissipation rates better than other models. Fur- thermore, the constrained helical models have higher correlation to the real SGS stress and have more similar probability density functions (PDF) to the DNS results. In general, the two constrained helical models show some more attractive features than other models.