Simon F.Guillen P.Sagaut P.Lucor, D.2016-02-082016-02-0820100045-7825http://hdl.handle.net/11693/22413The present paper focus on the stochastic response of a two-dimensional transonic airfoil to parametric uncertainties. Both the freestream Mach number and the angle of attack are considered as random parameters and the generalized Polynomial Chaos (gPC) theory is coupled with standard deterministic numerical simulations through a spectral collocation projection methodology. The results allow for a better understanding of the flow sensitivity to such uncertainties and underline the coupling process between the stochastic parameters. Two kinds of non-linearities are critical with respect to the skin-friction uncertainties: on one hand, the leeward shock movement characteristic of the supercritical profile and on the other hand, the boundary-layer separation on the aft part of the airfoil downstream the shock. The sensitivity analysis, thanks to the Sobol' decomposition, shows that a strong non-linear coupling exists between the uncertain parameters. Comparisons with the one-dimensional cases demonstrate that the multi-dimensional parametric study is required to get the correct shape and magnitude of the standard deviation distributions of the flow quantities such as pressure and skin-friction. © 2009 Elsevier B.V.EnglishPolynomial chaosStochastic collocationTransonic airfoil aerodynamicsUncertain quantificationBoundary-layer separationCoupling processFlow quantitiesFlow sensitivityFreestream mach numberGeneralized polynomial chaos (gPC)Movement characteristicsNonlinear couplingNonlinearitiesNumerical simulationParametric studyParametric uncertaintiesPolynomial chaosRandom parametersSpectral collocationStandard deviationStochastic collocationStochastic parametersStochastic responseSuper-criticalTransonic airfoilsTwo-dimensional transonic airfoilUncertain parametersUncertain quantificationAirfoilsChaos theoryFrictionMach numberPolynomialsSensitivity analysisStochastic systemsUncertainty analysisTransonic aerodynamicsA gPC-based approach to uncertain transonic aerodynamicsArticle10.1016/j.cma.2009.11.021