English

Surface-sampled simulations of turbulent flow at high Reynolds number

Fluid Dynamics 2017-10-20 v1 Computational Engineering, Finance, and Science Computational Physics

Abstract

A new approach to turbulence simulation, based on a combination of large-eddy simulation (LES) for the whole flow and an array of non-space-filling quasi-direct numerical simulations (QDNS), which sample the response of near-wall turbulence to large-scale forcing, is proposed and evaluated. The technique overcomes some of the cost limitations of turbulence simulation, since the main flow is treated with a coarse-grid LES, with the equivalent of wall functions supplied by the near-wall sampled QDNS. Two cases are tested, at friction Reynolds number Reτ_\tau=4200 and 20,000. The total grid node count for the first case is less than half a million and less than two million for the second case, with the calculations only requiring a desktop computer. A good agreement with published DNS is found at Reτ_\tau=4200, both in terms of the mean velocity profile and the streamwise velocity fluctuation statistics, which correctly show a substantial increase in near-wall turbulence levels due to a modulation of near-wall streaks by large-scale structures. The trend continues at Reτ_\tau=20,000, in agreement with experiment, which represents one of the major achievements of the new approach. A number of detailed aspects of the model, including numerical resolution, LES-QDNS coupling strategy and sub-grid model are explored. A low level of grid sensitivity is demonstrated for both the QDNS and LES aspects. Since the method does not assume a law of the wall, it can in principle be applied to flows that are out of equilibrium.

Keywords

Cite

@article{arxiv.1704.08368,
  title  = {Surface-sampled simulations of turbulent flow at high Reynolds number},
  author = {Neil D. Sandham and Roderick Johnstone and Christian T. Jacobs},
  journal= {arXiv preprint arXiv:1704.08368},
  year   = {2017}
}

Comments

Author accepted version. Accepted for publication in the International Journal for Numerical Methods in Fluids on 26 April 2017