RANS–based simulations impose a significantly lower computational cost, in terms of memory usage and simulation time. Despite the achieved progress in CFD simulation practice, Reynolds Averaged Navier–Stokes (RANS) simulations still play a crucial role in the CFD enabled design cycle. Numerical simulations also demonstrate that the calibrated set of model coefficients produce accurate predictions of the total pressure and Mach number profiles for the range of incidence angles that were not part of the calibration process.Ĭontinued growth of computational power over the past decades has enabled the successful application of computational fluid dynamics (CFD) in all stages of the aero–engine design cycle. Numerical simulations with calibrated turbulence parameters show a significant increase in the accuracy of Mach number profile prediction for separated flows in linear compressor cascade. The polynomial chaos expansion is employed as a surrogate model to reduce the cost of posterior calculation. To compute posterior probabilities of selected model parameters. The likelihood distribution is used together with prior distribution The likelihood distribution is specified in the form of the Gauss distribution to include the experimental uncertainty. The sensitivity ranking indicates that two model parameters cb1 and kappa are the most influential random variables resulting in a two-parameter Bayesian calibration process. Sensitivity analysis is used to rank the importance and select the most influential turbulence model parameters for the calibration process. The model parameters are assumed to be random variables obeying uniform prior probability distributions. The quantity of interest selected for the calibration process is the pitchwise distribution of Mach number in the wake of the linear compressor cascade.

This study focuses on the calibration of Spalart-Allmaras turbulence model parameters using the Bayesian inference approach to reproduce experimental measurements of corner flow separation in linear compressor cascade.

Eddy viscosity ratio external flow