An inverse identification of eddy influence kernels from DNS moments yields a minimal hairpin vortex model that predicts mean velocity and streamwise variance across high Reynolds numbers.
Journal of Fluid Mechanics 550 , 51--60
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The Minimal Attached Eddy in Wall Turbulence: Statistical Foundations, Inverse Identification and Influence Kernels
An inverse identification of eddy influence kernels from DNS moments yields a minimal hairpin vortex model that predicts mean velocity and streamwise variance across high Reynolds numbers.