In recent years, the scientific community has developed increasing interest into partial
differential equations with uncertain or stochastic parameters. Sources of uncertainties may …

Turbulence is one of the greatest unsolved mysteries of classical physics. Due to the highly
complex and chaotic nature of the phenomenon, the current physical understanding of …

Numerous comparisons between Reynolds‐averaged Navier–Stokes (RANS) and large‐
eddy simulation (LES) modeling have already been performed for a large variety of turbulent …

Turbulence is one of the greatest obscurities in the study of fluid mechanics. The uncertain
nature of the highly complex turbulent flow imposes a difficult obstacle to conquer, and as …

The goal of this work is to determine the effect of grid topology and flow solver discretization
on the uncertainty quantification and sensitivity analysis of commonly used turbulence …

Modern aeronautical design is driven by a number of factors such as evolving operational
requirements, the relentless drive to reduce costs and increasingly stringent environmental …

Owing to their affordable computational cost relative to higher-fidelity approaches such as
large-eddy simulation (LES), statistical turbulence models are currently the principle …

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

A simulation of flows' behavior, in other words, computational fluid dynamics (CFD)
simulation of flows, requires a large source of computational power to resolve the behavior …

The solution of Reynolds-averaged Navier–Stokes equations employs an appropriate set of
equations for the turbulence modelling. The closure coefficients of the turbulence model …