English

Generating wall-bounded turbulent inflows at high Reynolds numbers

Fluid Dynamics 2025-12-12 v1

Abstract

One of the main challenges in simulating high Reynolds number (ReRe) turbulent boundary layers (TBLs) is the long streamwise distance required for large-scale outer-layer structures to develop, making such simulations prohibitively expensive. We propose an inflow generation method for high ReRe wall turbulence that leverages the known structure and scaling laws of TBLs, enabling shorter development lengths by providing rich input information. As observed from the inner-scaled pre-multiplied spectra of streamwise velocity, with an increase in ReRe the outer region grows and occupies more of the spanwise wavenumber space in proportion to the increase in ReRe; while the inner region remains approximately the same. Exploiting this behavior, we generate high-ReRe inflow conditions for a target\textit{target} ReRe by starting from cross-stream velocity slices at a lower base\textit{base} ReRe. In spectral space, we identify the inner and outer region wavenumbers, and shift the outer-region components proportionally to the desired ReRe increase. We closely examine the capability of this method by scaling a set of velocity slices at Reθ=2240Re_\theta=2240 and 44304430 to Reθ=8000Re_\theta=8000, and using them as inflow conditions for direct numerical simulations (DNS) of spatially developing TBLs growing from Reθ=80009000Re_\theta=8000-9000. The skin friction coefficient and shape factor predicted by the new method, regardless of the base\textit{base} ReRe tested, is within ±3.5%\pm3.5\% and ±0.5%\pm0.5\%, respectively, of that of a precursor simulation right from the inlet. Reynolds stresses match very well after approximately 8 δ9908~\delta_{99_0}. This gives an order of magnitude reduction in development length compared to other methods proposed in the literature.

Keywords

Cite

@article{arxiv.2512.10623,
  title  = {Generating wall-bounded turbulent inflows at high Reynolds numbers},
  author = {Ronith Stanly and Timofey Mukha and Martin Karp and Stefano Markidis and Philipp Schlatter},
  journal= {arXiv preprint arXiv:2512.10623},
  year   = {2025}
}