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Aerodynamic flow analysis using conditional convolutional autoencoder in various flow conditions and application to CFD-based design optimization

Wontae Hwang Donggun Lee Junghun Shin Kumwon Cho Seongim Choi

Advances in Aerodynamics2025，Vol.7Issue(3)：P.23-51,29.

Advances in Aerodynamics2025，Vol.7Issue(3)：P.23-51,29.DOI:10.1186/s42774-024-00195-z

Aerodynamic flow analysis using conditional convolutional autoencoder in various flow conditions and application to CFD-based design optimization

Wontae Hwang ¹Donggun Lee ¹Junghun Shin ²Kumwon Cho ³Seongim Choi¹

作者信息

1. Department of Mechanical Engineering,Gwangju Institute of Science and Technology,Gwangju 61005,Republic of Korea
2. OXR Convergence Research Center,Korea Institute of Science and Technology Information,Daejeon 34141,Republic of Korea
3. Industry-University Cooperation Foundation,Kumoh National Institute of Technology,Gumi 39177,Republic of Korea
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摘要

关键词

Reduced order model/Computational fuid dynamics/Deep learning/Design optimization

分类

航空航天

引用本文复制引用

Wontae Hwang,Donggun Lee,Junghun Shin,Kumwon Cho,Seongim Choi..Aerodynamic flow analysis using conditional convolutional autoencoder in various flow conditions and application to CFD-based design optimization[J].Advances in Aerodynamics,2025,7(3):P.23-51,29.

基金项目

supported by the National Research Council of Science&Technology(NST)grant by the Korea government(MSIT)(No.CRC21013)。（NST）

Advances in Aerodynamics

ISSN：2097-3462

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