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 …

Improvements in turbulence modelling in the recent years has seen an increasing
prominence of various machine-learning algorithms. In this work, two different algorithms …

Spectral proper orthogonal decomposition (SPOD) is used to investigate the low-frequency
behavior of a pressure-induced turbulent separation bubble (TSB) generated on a one …

We examine the performance of wall-modeled large-eddy simulation (WMLES) to predict
turbulent boundary layers (TBLs) with mean-flow three-dimensionality. The analysis is …

Turbulent bluff body flows exhibit large-scale, low frequency dynamics associated with
symmetry breaking in the wake which compromise stability and increase surface pressure …

View Video Presentation: https://doi. org/10.2514/6.2022-1032. vid A wide range of three-
dimensional hill-type geometries has been explored for the study and advancement of our …

In RANS simulations for turbulent scalar transport, it is common that using an eddy-viscosity
(EV) model to close the Reynolds stress yields reasonable mean flow predictions but large …

This study examines the accuracy of large-eddy simulation (LES) with the Smagorinsky
model based on its dependence on the Reynolds number. The Smagorinsky model often …

Engineering design relies on numerical simulations of turbulent flows to perform analysis
and optimize components. Realistic turn-around times for the ensembles of simulations …

The high Reynolds-number turbulent separated flow over a Gaussian speed-bump
benchmark geometry presents challenges for predicting smooth-body flow separation. The …