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作 者:Dapeng Zhang Yifan Xie Yining Zhang Zhengjie Liang Yutao Tian
机构地区:[1]Ship and Maritime College,Guangdong Ocean University,Zhanjiang,524005,China
出 处:《Fluid Dynamics & Materials Processing》2025年第4期697-739,共43页流体力学与材料加工(英文)
基 金:funded by Programfor Scientific Research Start-up Funds of Guangdong Ocean University,grant number 060302072101;Zhanjiang Marine Youth Talent Project Comparative Study and Optimization of Horizontal Lifting of Subsea Pipeline,grant number 2021E5011.
摘 要:Airfoil structures play a crucial role across numerous scientific and technological disciplines,with the transition to turbulence and stall onset remaining key challenges in aerodynamic research.While experimental techniques often surpass numerical simulations in accuracy,they still present notable limitations.This paper begins by elucidating the fundamental principles of transition,dynamic stall,and airfoil behavior.It then provides a systematic reviewof six major experimentalmethodologies and examines the emerging role of artificial intelligence in this domain.By identifying key challenges and limitations,the study proposes strategic advancements to address these issues,offering a foundational framework to guide future research in airfoil structures and related fields.
关 键 词:AIRFOIL dynamic stall TRANSITION experimental methodologies artificial intelligence
分 类 号:V211.3[航空宇航科学与技术—航空宇航推进理论与工程]
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