Physics-guided airfoil optimization design for shock buffet suppression

Abstract Shock buffet is one of the common flow instability problems in aviation engineering, which can affect flight handling quality and limit flight envelope. In this study, we propose a physics-guided aerodynamic optimization design framework to improve the buffet onset in the transonic region. The buffet instability mechanism correlates strongly with both the extent of flow separation and the spatial evolution of shock waves in the underlying steady flow. Therefore, this optimization framework is based on the deep deterministic policy gradient (DDPG) algorithm, which focuses on optimizing the shock wave position and separation area from the stable flow, while comprehensively considering various aerodynamic constraints for airfoil optimization. The proposed method is applied to two airfoil optimization parameter spaces: 5% and 15% variation ranges. The results indicate an increase in the shock buffet onset of the optimized NACA0012 and RAE2822 airfoils by 0.3° and 0.7°, respectively, along with improving aerodynamic performance. Furthermore, near the leading edge of the optimized airfoil, there is a decrease in the curvature of the upper surface and the leading edge nose radius, while the curvature of the lower surface increases. These changes primarily influence the shock wave position and the peak suction value at the leading edge.

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Publication Details

Journal
Advances in Aerodynamics
Published
2026-02-14
DOI
https://doi.org/10.1186/s42774-025-00228-1
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Physics-guided airfoil optimization design for shock buffet suppression

Xiaojing Wu, Chuanqiang Gao, Qiyue Ma, Weiwei Zhang
Advances in Aerodynamics
Computational Fluid Dynamics and Aerodynamics
article

Physics-guided airfoil optimization design for shock buffet suppression

Xiaojing Wu, Chuanqiang Gao, Qiyue Ma, Weiwei Zhang
article en

Abstract

Abstract Shock buffet is one of the common flow instability problems in aviation engineering, which can affect flight handling quality and limit flight envelope. In this study, we propose a physics-guided aerodynamic optimization design framework to improve the buffet onset in the transonic region. The buffet instability mechanism correlates strongly with both the extent of flow separation and the spatial evolution of shock waves in the underlying steady flow. Therefore, this optimization framework is based on the deep deterministic policy gradient (DDPG) algorithm, which focuses on optimizing the shock wave position and separation area from the stable flow, while comprehensively considering various aerodynamic constraints for airfoil optimization. The proposed method is applied to two airfoil optimization parameter spaces: 5% and 15% variation ranges. The results indicate an increase in the shock buffet onset of the optimized NACA0012 and RAE2822 airfoils by 0.3° and 0.7°, respectively, along with improving aerodynamic performance. Furthermore, near the leading edge of the optimized airfoil, there is a decrease in the curvature of the upper surface and the leading edge nose radius, while the curvature of the lower surface increases. These changes primarily influence the shock wave position and the peak suction value at the leading edge.

Advances in AerodynamicsVol. 8(1)
Northwestern Polytechnical University (CN), Craft Group (China) (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 52%
Computational Fluid Dynamics and Aerodynamics
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