![]() ![]() Findings The results show that varying the trust-region (TR) radius (λ) significantly affects the prediction accuracy of the MFM. The proposed approach is demonstrated on three airfoil shapes under deep dynamic stall at a Mach number 0.1 and Reynolds number 135,000. Their similarity is tested by computing the prediction error with respect to the HF model evaluations. The effectiveness of the MFM method depends on the similarity between the high- (HF) and low-fidelity (LF) models. Multifidelity models are created by varying the spatial and temporal discretizations. ![]() Design/methodology/approach Dynamic stall is modeled using the unsteady Reynolds-averaged Navier–Stokes equations and Menter's shear stress transport turbulence model. ![]() Purpose The purpose of this work is to investigate the similarity requirements for the application of multifidelity modeling (MFM) for the prediction of airfoil dynamic stall using computational fluid dynamics (CFD) simulations. ![]()
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