03.1 - Aerodynamics – CFD Methods and Validation
WING BUFFET PRESSURE LOAD PREDICTION BASED ON A HYBRID DEEP LEARNING MODEL
R. Zahn¹, A. Weiner, Technical University of Braunschweig, Germany; C. Breitsamter¹; ¹Technical University of Munich (TUM), Germany
A hybrid deep learning model based on a convolutional autoencoder and a long short-term memory neural network is applied for the prediction of transonic wing buffet pressure loads on the Airbus XRF-1 configuration. For training the hybrid model, experimental data is used. The model is applied for the prediction of varying buffet conditions, aiming to reduce expensive experimental investigations.