The excessive computational resource requirements for direct numerical simulation (DNS)
and wall-resolved large eddy simulation (LES) make these methods intractable for …

The present paper discusses the physical reliability of turbulence modeling in an adverse
pressure gradient wall flow setup at moderate/high Reynolds number by comparing wall …

This survey investigates wall modeling in large-eddy simulations (LES) using data-driven
machine-learning (ML) techniques. To this end, we implement three ML wall models in an …

This paper focuses on the use of reinforcement learning (RL) as a machine-learning (ML)
modeling tool for near-wall turbulence. RL has demonstrated its effectiveness in solving high …

Code_Saturne, an open-source computational fluid dynamics (CFD) code, has been applied
to a range of problems related to turbomachinery internal air systems. These include a …

A practical application of universal wall scalings is near-wall turbulence modeling. In this
paper, we exploit the semilocal scaling [Patel, Boersma, and Pecnik, Phys. Rev. Fluids, 2 …

When manufacturing a turbine engine, the combustor annulus and the turbine annulus are
created as separate parts and assembled. This leads to an inter-platform gap between the …

We examine and benchmark the emerging idea of applying the large-eddy simulation (LES)
formalism to unconventionally coarse grids where RANS would be considered more …

The wall-modeled large-eddy simulation (WMLES) computational framework generally
includes a wall-model solver outside the large-eddy simulation (LES) infrastructure, with the …

Code_Saturne, an open-source computational fluid dynamics (CFD) code, has been applied
to a range of problems related to turbomachinery internal air systems. These include a …