In modern rotating machines, due to the significant effort put on reducing annoying discrete tones, the broadband noise is an important contribution to the overall noise level, as in fans, turboengines or wind turbines. A key source of broadband noise is the trailing-edge noise, caused by the scattering of boundary-layer pressure fluctuations into acoustic waves at the trailing-edge of any lifting surface. Numerical methods to evaluate this noise are more often using steady RANS computations for computational cost reasons, requiring modelling and introducing then uncertainties. The present study aims at assessing uncertainties associated with the prediction of trailing-edge noise, through an uncertainty quantification (UQ) framework, using RANS computations or conventional LES computations, in order to determine their respective robustness and accuracy.
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