What is it about?
There are many uncertainties in numerical aerodynamics: in the angle of attack, Mach number, geometry. We implement and compare 5 different methods to quantify uncertainties. We show that gradient based methods perform better. We compute the mean value, variance and exceedance probabilities of the lift and drag.
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Photo by Harry Knight on Unsplash
Why is it important?
Results could be directly used by Airbus, DLR, NASA, Boeing .
Perspectives
Having effective and trustable methods to estimate uncertainties, one can reduce the risk and then the finance cost.
Dr. Alexander Litvinenko
Rheinisch Westfalische Technische Hochschule Aachen
Read the Original
This page is a summary of: Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties---Comparison of Approaches, SIAM/ASA Journal on Uncertainty Quantification, January 2017, Society for Industrial & Applied Mathematics (SIAM),
DOI: 10.1137/15m1050239.
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