The quest for reductions in fuel consumption and CO 2 emissions in transport has been a
powerful driving force for scientific research into methods that might underpin drag-reducing …

This article presents a review of historical and recent developments in the understanding of
equilibrium and non-equilibrium turbulent boundary layers at incompressible high-Reynolds …

Physics-informed neural networks (PINNs) are successful machine-learning methods for the
solution and identification of partial differential equations. We employ PINNs for solving the …

Direct numerical simulations (DNS) are performed to investigate the spatial evolution of flat-
plate zero-pressure-gradient turbulent boundary layers over long streamwise domains () …

Reynolds-number effects in the adverse-pressure-gradient (APG) turbulent boundary layer
(TBL) developing on the suction side of a NACA4412 wing section are assessed in the …

Turbulent boundary layers under adverse pressure gradients are studied using well-
resolved large-eddy simulations (LES) with the goal of assessing the influence of the …

Three amplification mechanisms present in turbulent jets, namely lift-up, Kelvin–Helmholtz
and Orr, are characterized via global resolvent analysis and spectral proper orthogonal …

A theoretical decomposition of mean skin friction generation into physical phenomena
across the whole profile of the incompressible zero-pressure-gradient smooth-flat-plate …

While the computation of the boundary-layer thickness is straightforward for canonical
equilibrium flows, there are no established definitions for general nonequilibrium flows. In …

Direct numerical simulations, performed with a high-order spectral-element method, are
used to study coherent structures in turbulent pipe flow at friction Reynolds numbers. The …