Aerodynamic optimization of supersonic airfoils using bijective cycle generative adversarial networks

An efficient, diversified, and low-dimensional airfoil parameterization method is critical to airfoil aerodynamic optimization design. This paper proposes a supersonic airfoil parameterization method based on a bijective cycle generative adversarial network (Bicycle-GAN), whose performance is compar...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Chenfei Zhao, Yuting Dai, Xue Wang, Chao Yang, Guangjing Huang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-07-01
coleção:	Theoretical and Applied Mechanics Letters
Assuntos:	Aerodynamic optimization design Deep learning Generative adversarial network Variational autoencoder Multifidelity gaussian process regression
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2095034925000236
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!