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Physics-Assisted Reduced-Order Modeling for Identifying Dominant Features of Transonic Buffet
The dominant latent space further reveals a strong relevance with the key flow features located in the boundary layers downstream of shock.
Knowledge-embedded meta-learning model for lift coefficient prediction of airfoils
In the proposed model, a primary network is responsible for representing the relationship between the lift and angle of attack, while the geometry information is encoded into a hyper network to predict the unknown parameters involved in the primary network.
Parametric Generative Schemes with Geometric Constraints for Encoding and Synthesizing Airfoils
In contrast, the hard-constrained scheme produces airfoils with a wider range of geometric diversity while strictly adhering to the geometric constraints.
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