 Reynolds number effects in shock-wave/turbulent boundary-layer interactions
L. Laguarda, S. Hickel, F.F.J. Schrijer, B.W. van Oudheusden (2024)
Journal of Fluid Mechanics 989: A20. doi: 10.1017/jfm.2024.361
We investigate Reynolds number effects in strong shock-wave/turbulent-boundary layer interactions (STBLI) by leveraging a new database of wall-resolved and long-integrated large-eddy simulations (LES). The database encompasses STBLI with massive boundary-layer separation at Mach 2.0, impinging-shock angle 40° and friction Reynolds numbers Reτ = 355, Reτ = 1226, and Reτ = 5118.
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 Passive stabilization of crossflow instabilities by a reverse lift-up effect
J. Casacuberta, S. Hickel, M. Kotsonis (2024)
Physical Review Fluids 9: 034903. doi: 10.1103/PhysRevFluids.9.043903
A novel mechanism is identified, through which a spanwise-invariant surface feature (a two-dimensional forward-facing step) significantly stabilizes the stationary crossflow instability of a three-dimensional boundary layer. The mechanism is termed here as reverse lift-up effect, inasmuch as it acts reversely to the classic lift-up effect; that is, kinetic energy of an already-existing shear-flow instability is transferred to the underlying laminar flow through the action of cross-stream perturbations.
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 Large eddy simulations of reacting and non-reacting transcritical fuel sprays using multiphase thermodynamics
M. Fathi, S. Hickel, D. Roekaerts (2022)
Physics of Fluids 34: 085131. doi: 10.1063/5.0099154
We present a novel framework for high-fidelity simulations of inert and reacting sprays with highly accurate and computationally efficient models for complex real-gas effects in high-pressure environments, especially for the hybrid subcritical/supercritical mode of evaporation during the mixing of fuel and oxidizer at transcritical conditions.
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 Adaptive reduced-order modeling for non-linear fluid-structure interaction
A. Thari, V. Pasquariello, N. Aage, S. Hickel (2021)
Computers and Fluids 229: 105099. doi: 10.1016/j.compfluid.2021.105099
We present an adaptive reduced-order model for the efficient time-resolved simulation of fluid–structure interaction problems with complex and non-linear deformations. The model is based on repeated linearizations of the structural balance equations. Upon each linearization step, the number of unknowns is strongly decreased by using modal reduction, which leads to a substantial gain in computational efficiency.
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