Reliable full-scale prediction of drag due to rough wall-bounded turbulent fluid flow remains a challenge. Currently, the uncertainty is at least 10%, with consequences, for example, on …
This review covers the new developments in machine learning (ML) that are impacting the multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
The paper provides a brief introduction to the near-wall problem of LES and how it can be solved through modeling of the near-wall turbulence. The distinctions and key differences …
While data-based approaches were found to be useful for subgrid scale (SGS) modeling in Reynolds-averaged Navier-Stokes (RANS) simulations, there have not been many attempts …
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 …
J Jiménez - Journal of Fluid Mechanics, 2018 - cambridge.org
This article discusses the description of wall-bounded turbulence as a deterministic high- dimensional dynamical system of interacting coherent structures, defined as eddies with …
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 …
This review describes mean and turbulent flow and mass transport in the presence of aquatic vegetation. Within emergent canopies, the turbulent length scales are set by the …
The classic textbook from Pijush Kundu, Fluid Mechanics, has been once again revised and updated by Dr. David Dowling and Dr. Jesse Capecelatro to better illustrate this important …