Physics-guided airfoil optimization design for shock buffet suppressionOA
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.
Qiyue Ma;Chuanqiang Gao;Xiaojing Wu;Weiwei Zhang
School of Aeronautics,Northwestern Polytechnical University,Xi’an 710072,China National Key Laboratory of Aircraft Configuration Design,Xi’an 710072,China International Joint Institute of Artificial Intelligence on Fluid Mechanics,Northwestern Polytechnical University,Xi’an 710072,ChinaSchool of Aeronautics,Northwestern Polytechnical University,Xi’an 710072,China National Key Laboratory of Aircraft Configuration Design,Xi’an 710072,China International Joint Institute of Artificial Intelligence on Fluid Mechanics,Northwestern Polytechnical University,Xi’an 710072,ChinaInternational Joint Institute of Artificial Intelligence on Fluid Mechanics,Northwestern Polytechnical University,Xi’an 710072,China School of Civil Aviation,Northwestern Polytechnical University,Xi’an 710072,ChinaSchool of Aeronautics,Northwestern Polytechnical University,Xi’an 710072,China National Key Laboratory of Aircraft Configuration Design,Xi’an 710072,China International Joint Institute of Artificial Intelligence on Fluid Mechanics,Northwestern Polytechnical University,Xi’an 710072,China
航空航天
Shock buffetSteady flowPhysics-guidedAirfoil optimization designReinforcement learning
《Advances in Aerodynamics》 2026 (1)
P.184-215,32
supported by the National Natural Science Foundation of China(No.U23B6009,No.12372271)National Key R&D Program of China Natural Science Basic Research Program of Shaanxi(No.2024JC-TBZC-17).
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