Response of zero-pressure gradient turbulent boundary layers to step changes in riblet surface textures
ORAL
Abstract
We computationally study the response of zero-pressure-gradient (ZPG) turbulent boundary layers (TBLs) to a streamwise step change from a smooth wall to riblets (S-R), and vice versa (R-S). We consider triangular riblets with tip angles 90o (T9) and 60o (T6), that respectively increase and reduce drag, with viscous-scaled spacings 50 and 15. A novel grid-generation approach is developed for unstructured spectral-element codes, consistent with the size of turbulent scales across the TBL. We generate a ZPG TBL upstream of the step change (with thickness δ0) with momentum thickness Reynolds number 680. The TBL departure from equilibrium due to the step change, and its subsequent relaxation, recall previous studies on step changes in surface roughness. Downstream of the R-S step change, the internal equilibrium layer thickness δIEL reaches 0.4δ0 within a shorter distance downstream of T6 (5δ0) compared to T9 (12δ0), due to the shorter height of the riblets in the T6 case. For a fixed riblet geometry, δIEL grows faster during S-R step change compared to R-S. In all cases, δIEL does not reach the boundary layer thickness, even up to a distance of 60δ0 downstream of the step change, owing to persistent history effects within the frozen wake region.
*VK acknowledges his AI4S fellowship within the Generacion D initiative by Red.es, Ministerio para la Transformacion Digital y de la Funcion Publica, for talent attraction (C005/24-ED CV1), funded by NextGenerationEU through PRTR. AR acknowledges the support from the Air Force Office of Scientific Research (AFOSR) under award number FA8655-24-1-7008, monitored by Dr. Douglas Smith and Dr. Barrett Flake. WW acknowledges the support from AFOSR Grant No. FA9550-25-1-0033, monitored by Dr. Gregg Abate. We thank EPSRC for the computational time made available on ARCHER2 via the UK Turbulence Consortium (EP/R029326/1), and the UKRI access to the HPC call 2024.
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Presenters
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Vishal Kumar
- Barcelona Supercomputing Center