Convolutional-neural-network-based DES-level aerodynamic flow field generation from URANS data
The present paper culminates several investigations into the use of convolutional neural networks (CNNs) as a post-processing step to improve the accuracy of unsteady Reynolds-averaged Navier–Stokes (URANS) simulations for subsonic flows over airfoils at low angles of attack. Time-averaged detached...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2023-11-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0167876 |