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 …

Turbulent flows play an important role in many scientific and technological design problems.
Both Sub-Grid Scale (SGS) models in Large Eddy Simulations (LES) and Reynolds …

A classic approach to Computational Fluid Dynamics (CFD) is to perform simulations with a
fixed set of variables in order to account for parameters and boundary conditions. However …

Combining different existing uncertainty quantification (UQ) techniques, a framework is
obtained to assess a set of metrics in computational physics problems, in general, and …

In computational physics, mathematical models are numerically solved and as a result,
realizations for the quantities of interest (QoIs) are obtained. Even when adopting the most …

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

ABSTRACT A framework is described for convergence and validation of nonintrusive
uncertainty quantification (UQ) methods; the relationship between deterministic verification …

HE interest industry and academia for uncertainty quantification (UQ) techniques has
increased over the last few years, and in particular for internal flows ([2],[8],[15]). In contrast …

The previous chapters analyzed the level of uncertainty in different gas turbine components,
how this affects the performance such as life and fuel consumption, and the numerical …

Abstract In Computational Fluid Dynamics (CFD), input parameters, numerical methods, and
physical models, will introduce uncertainty in the results. In order to assess the reliability of …