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• W2973758658 abstract "We compute, model, and predict drag reduction of an actuated turbulent boundary layer at a momentum thickness based Reynolds number of Re{theta} = 1000. The actuation is performed using spanwise traveling transversal surface waves parameterized by wavelength, amplitude, and period. The drag reduction for the set of actuation parameters is modeled using 71 large-eddy simulations (LES). This drag model allows to extrapolate outside the actuation domain for larger wavelengths and amplitudes. The modeling novelty is based on combining support vector regression for interpolation, a parameterized ridgeline leading out of the data domain, scaling from Tomiyama and Fukagata (2013), and a discovered self-similar structure of the actuation effect. The model yields high prediction accuracy outside the training data range." @default.
• W2973758658 created "2019-09-26" @default.
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• W2973758658 date "2019-09-18" @default.
• W2973758658 modified "2023-10-01" @default.
• W2973758658 title "Actuation response model from sparse data for wall turbulence drag reduction" @default.
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