Learning Mappings from Iced Airfoils to Aerodynamic Coefficients Using a Deep Operator Network-Reference-Cited by-同舟云学术

Learning Mappings from Iced Airfoils to Aerodynamic Coefficients Using a Deep Operator Network

Published:2023-09 Issue:5 Volume:36 Page:
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Zhao Tun¹^ORCID,Qian Weiqi²,Lin Jie³,Chen Hai⁴,Ao Houjun⁵,Chen Gong⁶,He Lei⁷

Affiliation:

1. Research Associate, State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China; Research Associate, Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China. ORCID: .

2. Professor, State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China; Professor, Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China.

3. Engineer, College of Computer, National Univ. of Defense Technology, Changsha, Hunan 410073, China; Engineer, Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China.

4. Senior Engineer, Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China.

5. Research Associate, Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China.

6. Senior Engineer, State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China; Senior Engineer, Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China.

7. Research Associate, Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JAEEEZ.ASENG-4508

Reference30 articles.

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3. Multiple Aerodynamic Coefficient Prediction of Airfoils Using a Convolutional Neural Network

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5. Numerical Investigations of the Jaxa High-Lift Configuration Standard Model with MFlow Solver

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