Wind-Tunnel Evaluation for an Active Sting Damper Using Multimodal Neural Networks-Reference-Cited by-同舟云学术

Wind-Tunnel Evaluation for an Active Sting Damper Using Multimodal Neural Networks

Published:2020-05 Issue:5 Volume:58 Page:1939-1948
ISSN:0001-1452
Container-title:AIAA Journal
language:en
Short-container-title:AIAA Journal

Author:

Dai Yuke¹,Zhang Lei¹,Zhao Zhenping²,Shen Xing¹

Affiliation:

1. State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, 210016 Nanjing, People’s Republic of China

2. Beijing Institute of Space Long March Vehicle, 100076 Beijing, People’s Republic of China

Funder

Postgraduate Research and Practice Innovation Program of Jiangsu Province

Aeronautical Science Foundation of China

Priority Academic Program Development of Jiangsu Higher Education Institutions

National Natural Science Foundation of China

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Aerospace Engineering

Reference22 articles.

1. Separation Control on HIgh Angle of Attack Airfoil Using Plasma Actuators

2. Hypervelocity ballistic reference models as experimental supersonic test cases

3. Contemporary frame of measurement and assessment of wind-tunnel flow quality in a low-speed facility

4. Supporting system interference on aerodynamic characteristics of an aircraft model in a low-speed wind tunnel

5. Active Flutter Suppression-A Flight Test Demonstration

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