35th Congress of the International Council of the Aeronautical Sciences

01.1 - Aircraft Design and Integrated Systems (Theory, Methods and Tools)

AN EFFICIENT TRANSITION PREDICTION METHOD USING NEURAL NETWORK SURROGATE MODELS

J. Wu, China; W. Song, China; H. Nie, China; C. Liu, China

To provide an efficient and robust transition prediction tool for laminar wing design, this study develops a transition prediction method using artificial neural networks (ANNs) as surrogate models.


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DOI: 10.71945/icas2026_0254