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 …
URANOS, a massively parallel GPU-accelerated compressible flow solver for high-fidelity modeling of compressible wall flows, is presented. URANOS is based on modern high …
The current work presents an innovative numerical technique for high-Reynolds/high-Mach number compressible flow simulations in complex configurations. In particular, the research …
The work describes a systematic optimization strategy for designing hypersonic inlet intakes. A Reynolds-averaged Navier-Stokes database is mined using genetic algorithms to develop …
Insights gained from modal analysis are invoked for predictive large-eddy simulation (LES) wall modelling. Specifically, we augment the law of the wall (LoW) by an additional mode …
In the framework of wall-modeled large-eddy simulation (WMLES), the problem of combining sub-grid scale (SGS) models with the standard wall law is commonly acknowledged and …
F De Vanna, G Baldan - Computer Physics Communications, 2024 - Elsevier
Abstract We present URANOS-2.0, the second major release of our massively parallel, GPU- accelerated solver for compressible wall flow applications. This latest version represents a …
S Lyu, S Utyuzhnikov - Computers & Fluids, 2022 - Elsevier
Near-wall turbulence modeling represents one of challengers in the computational fluid dynamics. To tackle this problem, the near-wall non-overlapping domain decomposition …