03.1 - Aerodynamics – CFD Methods and Validation
AN ASSESSMENT OF REDUCED-ORDER AND MACHINE LEARNING MODELS FOR STEADY TRANSONIC FLOW PREDICTION ON WINGS
R. Castellanos¹, J. Bowen Varela¹, A. Gorgues¹, E. Andrés¹; ¹INTA, Spain
In this paper, the potential of machine learning techniques for the aerodynamics prediction of industrial-relevant aircraft configurations has been assessed. This is relevant for the aeronautic industry since CFD solvers are computationally expensive and machine learning methods can be very useful in certain situations, for instance inside an optimization process.