The paper investigates the sensitivity of numerically computed flow fields to uncertainties in
thermodynamic models for complex organic fluids. Precisely, the focus is on the propagation of
uncertainties introduced by some popular thermodynamic models to the numerical results of a
computational fluid dynamics solver for flows of molecularly complex gases close to saturation
conditions (dense gas flows). A tensorial-expanded chaos collocation method is used to perform
both a priori and a posteriori tests on the output data generated by thermodynamic models for
dense gases with uncertain input parameters. A priori tests check the sensitivity of each equation of
state to uncertain input data via some reference thermodynamic outputs, such as the saturation
curve and the critical isotherm. A posteriori tests investigate how the uncertainties propagate to the
computed field properties and aerodynamic coefficients for a flow around an airfoil placed into a
transonic dense gas stream.
