In the last five years Uncertainty Quantification (UQ) techniques became popular to predict
gas turbine performances. Taking into account the uncertainties in the input parameters it is …

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 …

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 …

Efficiency is an essential metric for assessing turbine performance. Modern turbines rely
heavily on numerical computational fluid dynamic (CFD) tools for design improvement. With …

In computational fluid dynamics (CFD), it is possible to identify namely two uncertainties:
epistemic, related to the turbulence model, and aleatoric, representing the random-unknown …

While turbine engine Original Equipment Manufacturers (OEMs) accumulated significant
experience in the application of probabilistic methods (PM) and uncertainty quantification …

Calibration and uncertainty quantification for gas turbine (GT) performance models is a key
activity for GT manufacturers. The adjustment between the numerical model and measured …

In engineering design, uncertainty is inevitable and can cause a significant deviation in the
performance of a system. Uncertainty in input parameters can be categorized into two …

An well-established tool for probabilistic analysis is the Monte Carlo simulation (MCS),
which can be used to gain insight into an unknown system behavior. The variability of the …

In the last three decades computer simulation tools have achieved wide spread use in the
design and analysis of engineering devices. This has shortened the overall product design …