Rapid Prediction of Flexible Deformations of a Gust Generator Vane Using Data-Driven Approaches
Publication: Journal of Aerospace Engineering
Volume 36, Issue 3
Abstract
The aeroelastic effect of gust generator vanes with a high aspect ratio is more significant in large-scale wind tunnels. High-fidelity numerical results based on the computational fluid dynamics (CFD) and computational structural mechanics (CSM) coupling methodology have an extremely high computational cost. To this end, a data-driven method for rapidly estimating unsteady flexible deformations of gust generators vanes is developed. The aeroelastic rigid-elastic reduced-order model is built by the dynamic mode decomposition with control and prediction error minimization (DMDcP) methods. For all cases validated with various pitching amplitudes and frequencies of gust vanes, the maximum cumulative errors of DMDcP reduced-order model solutions are all under 2%. The efficiency of the presented method has the potential to fast estimate unsteady flexible deformations and reduce computational cost in the early stages of gust generator design while maintaining adequate accuracy as the CFD-CSM coupling methodology.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This work is supported by the National Natural Science Foundation of China under Grant #12072278 and the Aeronautical Science Foundation of China #ASFC-201901053001. This work is also supported by AVI C Aerodynamics Research Institute and The First Aircraft Institute.
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Journal of Aerospace Engineering
Volume 36 • Issue 3 • May 2023
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© 2023 American Society of Civil Engineers.
History
Received: May 12, 2022
Accepted: Nov 23, 2022
Published online: Feb 23, 2023
Published in print: May 1, 2023
Discussion open until: Jul 23, 2023
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