Fast simulation of airfoil flow field via deep neural network
Kuijun Zuo(Hong Kong Polytechnic University), Weiwei Zhang(Northwestern Polytechnical University), Shuhui Bu(Northwestern Polytechnical University), Xianxu Yuan(China Aerodynamics Research and Development Center), Zhengyin Ye(Northwestern Polytechnical University)
Cited by 38
Related Papers
Fast aerodynamics prediction of laminar airfoils based on deep attention network
|Physics of Fluids|2023|98
Improved Point Selection Method for Hybrid-Unstructured Mesh Deformation Using Radial Basis Functions
|AIAA Journal|2014|88
Numerical investigation of structural geometric nonlinearity effect in high-aspect-ratio wing using CFD/CSD coupled approach
|Journal of Fluids and Structures|2014|56
Fast sparse flow field prediction around airfoils via multi-head perceptron based deep learning architecture
|Aerospace Science and Technology|2022|53
Effects of plate vibration on the mixing and combustion of transverse hydrogen injection for scramjet
|International Journal of Hydrogen Energy|2017|35