Modeling wall turbulence remains a major challenge, as a sufficient physical understanding
of these flows is still lacking. In an effort to move toward a physics-based model, AA …

The mean skin-friction drag in a wall-bounded turbulent flow can be decomposed into
different physics-informed contributions based on the mean and statistical turbulence …

Spectral energy transfer in a turbulent channel flow is investigated at Reynolds number,
based on the wall shear velocity and channel half-height, with a particular emphasis on full …

The present work investigates numerically the statistics of the wall shear stress fluctuations
in a turbulent boundary layer (TBL) and their relation to the velocity fluctuations outside of …

The presence of very-large-scale motions in wall-bounded turbulent flows is commonly
associated with their footprint in the form of the superposition of the large scales at the wall …

We collect and discuss the results of our recent studies which show evidence of the
existence of a whole family of self-sustaining motions in wall-bounded turbulent shear flows …

Bidimensional empirical mode decomposition (BEMD) is used to identify attached eddies in
turbulent channel flows and quantify their relationship with the mean skin-friction drag …

Near-wall velocity prediction for wall-bounded turbulence is useful for constructing a wall
model and estimating dissipation and wall shear stress. A convolutional neural network is …

The inner–outer interaction model (Marusic et al., Science, vol. 329, 2010, pp. 193–196) and
the attached-eddy model (Townsend, Cambridge University Press, 1976) are two …

Smooth-walled open channel flow datasets, covering both the direct numerical simulation
and experimental measurements with a friction Reynolds number wavelength ranges are …