In computational fluid dynamics simulations of industrial flows, models based on the
Reynolds-averaged Navier–Stokes (RANS) equations are expected to play an important …

In recent years, deep learning has proven to be a viable methodology for surrogate
modeling and uncertainty quantification for a vast number of physical systems. However, in …

A direct numerical simulation of incompressible channel flow at a friction Reynolds number
($\mathit {Re} _ {{\it\tau}} $) of 5186 has been performed, and the flow exhibits a number of …

abstract The output from a direct numerical simulation (DNS) of turbulent channel flow at Re
τ≈ 1000 is used to construct a publicly and Web services accessible, spatio-temporal …

Bayesian optimization (BO) based on Gaussian process regression (GPR) is applied to
different CFD (computational fluid dynamics) problems which can be of practical relevance …

We study turbulent flows in pressure-driven ducts with square cross-section through direct
numerical simulation in a wide enough range of Reynolds number to reach flow conditions …

Reynolds-number dependence of turbulent skin-friction drag reduction induced by
spanwise forcing Page 1 J. Fluid Mech. (2016), vol. 802, pp. 553–582. c Cambridge …

The possible ill conditioning of the Reynolds average Navier–Stokes (RANS) equations
when an explicit data-driven Reynolds stress tensor closure is employed is a discussion of …

High fidelity computational fluid dynamics simulations of ship airwakes are often performed
with time accurate, turbulence resolving methods, such as large eddy simulation or …

We study the large-scale motions in turbulent plane Couette flows at moderate friction
Reynolds number up to length of the domain. The presence of these very long structures is …