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The effect of wall curvature on supersonic turbulent boundary layers at high Reynolds numbers via DNS

ORAL

Abstract

Unsteady 3D spatially-developing turbulent boundary layers (SDTBL) that evolve along the flow direction exhibit a streamwise non-homogeneous condition and pose enormous computational challenges. The reasons can be summarized as : (i) full spectrum resolution of turbulent flow fluctuations, (ii) accurate time-dependent inflow turbulence information prescription, and (iii) compressibility effect capturing. Moreover, accounting for the effects of wall-curvature driven pressure gradient adds significant crucial challenges to the problem. In this presentation, we will show recent numerical results of supersonic SDTBL subject to strong concave curvature (δinlet/R ≈ -0.083) and very strong convex curvature (δinlet/R ≈ +0.17) for very high Reynolds numbers (up to δ+ ≈ 2,600) and Mach = 2.86, which are of crucial importance in aerospace applications, such as unmanned high-speed vehicles, scramjets and advanced space aircrafts. The selected numerical tool is Direct Numerical Simulation (DNS) with high spatial/temporal resolution. The prescribed curved geometry is based on the experimental study by Donovan et al. (J. Fluid Mech., 259, 1-24, 1994). Turbulent inflow conditions are based on extracted data from a previous DNS over a flat plate (precursor). The extensive DNS information will shed important light on the transport phenomena and Lagrangian coherent structures (LCS) inside supersonic turbulent boundary layers subject to strong deceleration/acceleration caused by surface curvatures.

* NSF-CAREER #2314303, AFOSR #FA9550-23-1-0241

Publication: Lagares C. and Araya G. A GPU-Accelerated Particle Advection Methodology for 3D Lagrangian Coherent Structures in High-Speed Turbulent Boundary Layers. Energies 2023, 16(12), 4800 2023. https://doi.org/10.3390/en16124800
Araya G. and Lagares C., Implicit subgrid-scale modeling of a Mach-2.5 spatially-developing turbulent boundary layer. Entropy 2022, 24, 555. https://doi.org/10.3390/e24040555

Presenters

  • Guillermo Araya

    University of Texas at San Antonio

Authors

  • Guillermo Araya

    University of Texas at San Antonio

  • Christian J Lagares

    University of Puerto Rico at Mayaguez, University of Puerto Rico at Mayagüez