Soft and Hard Constrained Parametric Generative Schemes for Encoding and Synthesizing Airfoils. (arXiv:2205.02458v1 [physics.flu-dyn])

Web: http://arxiv.org/abs/2205.02458

Traditional airfoil parametric technique has significant limitation in modern
aerodynamic optimization design.There is a strong demand for developing a
parametric method with good intuitiveness, flexibility and representative
accuracy. In this paper, two parametric generative schemes based on deep
learning methods are proposed to represent the complicate design space under
specific constraints. 1. Soft-constrained scheme: The CVAE-based model trains
geometric constraints as part of the network and can provide constrained
airfoil synthesis; 2. Hard-constrained scheme: The VAE-based model serves to
generate …

arxiv parametric physics