Drag penalty during relaminarization and Kelvin-Helmholtz-promoted retransition in an accelerating turbulent boundary layer over initially drag-reducing riblets
Benjamin Savino, Wen Wu

TL;DR
This study uses direct numerical simulations to explore how accelerating turbulent boundary layers over riblets experience drag penalties during relaminarization and retransition, revealing new physical insights.
Contribution
It uncovers the mechanisms behind drag increase over riblets in accelerating flows and introduces a revised understanding of riblet performance in non-equilibrium turbulence.
Findings
Modest acceleration causes riblet drag increase despite near-optimal ZPG conditions.
Drag penalty mainly from viscous shear concentration at riblet crest during relaminarization.
Kelvin-Helmholtz rollers promote earlier retransition and turbulence regeneration.
Abstract
Direct numerical simulations of an accelerating turbulent boundary layer (TBL) over a smooth wall and a wall fully covered with streamwise-aligned riblets are performed to investigate drag modulation and its underlying mechanisms. The riblet-scale flow is resolved using an immersed boundary method. Starting from a zero-pressure-gradient (ZPG) TBL at Re=6800, the flow undergoes a threefold freestream acceleration over seventy-five boundary-layer thicknesses, matching the development reported by Warnack and Fernholz (1998), and consequently experiences relaminarization followed by retransition farther downstream. The riblets, defined by a sinusoidal spanwise profile with initial s+=15.2 and lg+=10.5, correspond to near-optimal drag-reducing size in ZPG flows. However, even modest acceleration renders them drag-increasing, showing that the conventional ZPG interpretation based on…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
