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 …

Computer codes contain sources of uncertainty. Therefore, one need to quantify the
uncertainty in the physical models, the corresponding inputs, and the applied numerical …

Computer simulations are frequently used for design and safety analyses of nuclear
installations. In such computer simulations, uncertainties in the outcome are present, for …

Uncertainty quantification (UQ) methods can be applied to computational fluid dynamics
(CFD) simulations for determining the uncertainty bands of the simulations results. In order …

The increase of computational power along with continuous development of local
mechanistic models opens the space for detailed Computational Fluid Dynamics (CFD) …

ABSTRACT The generalized Polynomial Chaos (gPC) expansion was used to quantify the
uncertainty in CFD simulations of the GEneric MIxing eXperiment (GEMIX) carried out at the …

An uncertainty quantification (UQ) analysis was conducted for the unsteady Reynolds
Average Navier Stokes Simulation (URANS) of the OECD-NEA cold leg mixing benchmark …

In the past ten years, the Working Group for the Analysis and Management of accidents
(WGAMA) initiated activities to promote the use of CFD for Nuclear Reactor Safety (NRS) …

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 …

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 …