@inbook {HijaziStabileMolaRozza2020a,
	title = {Non-intrusive Polynomial Chaos Method Applied to Full-Order and Reduced Problems in Computational Fluid Dynamics: A Comparison and Perspectives},
	booktitle = {Quantification of Uncertainty: Improving Efficiency and Technology: QUIET selected contributions},
	year = {2020},
	pages = {217{\textendash}240},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {<p>In this work, Uncertainty Quantification (UQ) based on non-intrusive Polynomial Chaos Expansion (PCE) is applied to the CFD problem of the flow past an airfoil with parameterized angle of attack and inflow velocity. To limit the computational cost associated with each of the simulations required by the non-intrusive UQ algorithm used, we resort to a Reduced Order Model (ROM) based on Proper Orthogonal Decomposition (POD)-Galerkin approach. A first set of results is presented to characterize the accuracy of the POD-Galerkin ROM developed approach with respect to the Full Order Model (FOM) solver (OpenFOAM). A further analysis is then presented to assess how the UQ results are affected by substituting the FOM predictions with the surrogate ROM ones.</p>},
	isbn = {978-3-030-48721-8},
	doi = {10.1007/978-3-030-48721-8_10},
	url = {https://doi.org/10.1007/978-3-030-48721-8_10},
	author = {Saddam Hijazi and Giovanni Stabile and Andrea Mola and Gianluigi Rozza}
}
