Uncertainty quantification: a stochastic method for heat transfer prediction using LES

M Carnevale, F Montomoli… - … Expo: Power for …, 2012 - asmedigitalcollection.asme.org
In Computational Fluid Dynamics (CFD) is possible to identify namely two uncertainties:
epistemic, related to the turbulence model, and aleatoric, representing the random-unknown …

Uncertainty quantification: A stochastic method for heat transfer prediction using LES

M Carnevale, F Montomoli… - Journal of …, 2013 - asmedigitalcollection.asme.org
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 …

Uncertainty quantification applied to gas turbine components

F Montomoli, M Massini - … in computational fluid dynamics and aircraft …, 2019 - Springer
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 …

Comparative analysis of methodologies for uncertainty propagation and quantification

A Cuneo, A Traverso… - … Expo: Power for …, 2017 - asmedigitalcollection.asme.org
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 …

Gas turbines and uncertainty quantification: Impact of PDF tails on UQ predictions, the Black Swan

F Montomoli, M Massini - … Expo: Power for …, 2013 - asmedigitalcollection.asme.org
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 …

Uncertainty quantification of a jet engine performance model under scarce data availability

N Ludwig, G Antinori, M Daub… - … Expo: Power for …, 2021 - asmedigitalcollection.asme.org
The development of jet engine components requires a detailed quantification of different
uncertainty sources to improve the quality and robustness of the design. In order to get a …

Effects of inlet uncertainties on prediction of turbulent flows using RANS and LES simulations

P Congedo, C Duprat, G Balarac, C Corre - 20th AIAA computational …, 2011 - arc.aiaa.org
In recent years, the scientific community has developed increasing interest into partial
differential equations with uncertain or stochastic parameters. Sources of uncertainties may …

Uncertainty quantification and conjugate heat transfer: A stochastic analysis

F Montomoli, A D'Ammaro… - … Expo: Power for …, 2012 - asmedigitalcollection.asme.org
Conjugate Heat Transfer studies are a common method to predict the thermal loading in
high pressure nozzles. Despite the accuracy of nowadays tools, it is not clear how to include …

A hybrid approach combining DNS and RANS simulations to quantify uncertainties in turbulence modelling

LJA Voet, R Ahlfeld, A Gaymann, S Laizet… - Applied Mathematical …, 2021 - Elsevier
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 …

Manufacturing/in-service uncertainty and impact on life and performance of gas turbines/aircraft engines

M Massini, F Montomoli - … in Computational Fluid Dynamics and Aircraft …, 2019 - Springer
This chapter highlights the impact of manufacturing errors on performances of aircraft
engines and gas turbines in general. The reader should use this chapter to identify the …