Abstract Reynolds Averaged Navier Stokes models are the most popular approach for
Computational Fluid Dynamics simulations of turbulent flows. Despite their popularity, these …

Uncertainty quantification (UQ) has recently become an important part of the design process
of countless engineering applications. However, up to now in computational fluid dynamics …

With the ever-increasing use of Reynolds-Averaged Navier–Stokes (RANS) simulations in
mission-critical applications, the quantification of model-form uncertainty in RANS models …

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

Reynolds-averaged Navier-Stokes (RANS) models are the primary numerical recourse to
investigate complex engineering turbulent flows in industrial applications. However, to …

With the advent of improved computational resources, alternate design approaches that
explicitly account for uncertainty in predictions, such as robust-and reliability-based design …

In spite of increasing progress in high fidelity turbulent simulation avenues like Direct
Numerical Simulation (DNS) and Large Eddy Simulation (LES), Reynolds-Averaged Navier …

A method is presented for building a statistical model for the structural uncertainties in RANS
turbulence models. This approach compares the results of RANS calculations to direct …

Numerical models based on Reynolds-Averaged Navier-Stokes (RANS) equations are
widely used in engineering turbulence modeling. However, the RANS predictions have …

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