An improved model for predicting dynamic total pressure distortion

In order to accurately predict the dynamic total pressure distortion produced by crescent baffle distortion simulator in its practical application, an improved turbulence correlation model is proposed in this paper. Several turbulence parameters from CFD solution are correlated with the measured turbulence via the improved model. Back-propagation artificial neural network (BP ANN) is used to find the correlation and establish a turbulence prediction model. Dynamic distortion intensity is represented by the predicted turbulence. The results show that dynamic distortion indexes predicted by the improved model are more accurate, with a maximum error of 7.72%. Finally, the dynamic distortion flow field of crescent baffle distortion simulator is predicted by applying the established prediction model. Analysis of dynamic distortion characteristics provides important guidance for the application of crescent baffle distortion simulator.