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- Fundamentals of Aerodynamics(John D.Anderson)
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- Hypersonic and High-Temperature Gas Dynamics(John D.Anderson)
- 空气动力学(钱翼稷)
- 气动弹性设计基础(杨超)
- 流固耦合力学基础及其应用(张伟伟)
- 飞机气动弹性力学及载荷理论(Jan R. Wright)
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- 计算流体力学方法及应用(阎超)
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- 现代计算气动弹性力学(徐敏)
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- Aeromechanics of Membrane Wings with Implications for Animal Flight, Arnold Song[AIAA, 2008]
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- (Recursive DMD)Recursive Dynamic Mode Decomposition for the flow around two square cylinders in tandem configuration, W. Stankiewicz[Journal of Fluids and Structures, 2022]
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- Data-driven modeling for unsteady aerodynamics and aeroelasticity, Jiaqing Kou[Progress in Aerospace Sciences, 2021]
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- Fast pressure distribution prediction of airfoils using deep learning, Xinyu Hui[Aerospace Science and Technology, 2020]
- Fast flow field prediction over airfoils using deep learning approach, Vinothkumar Sekar[POF, 2019]
- Inverse Design of Airfoil Using a Deep Convolutional Neural Network, Vinothkumar Sekar[AIAA, 2019]
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- Construction of reduced-order models for fluid flows using deep feedforward neural networks, Hugo F. S. Lui[JFM, 2019]
- Compressed Convolutional LSTM: An Efficient Deep Learning Framework to Model High Fidelity 3D Turbulence, Arvind T. Mohan[arXiv: Fluid Dynamics, 2019]
- Nonlinear mode decomposition with convolutional neural networks for fluid dynamics, Takaaki Murata[JFM, 2019]
- A deep learning enabler for nonintrusive reduced order modeling of fluid flows, S. Pawar[POF, 2019]
- Unsteady reduced-order model of flow over cylinders based on convolutional and deconvolutional neural network structure, Jiang-Zhou Peng[POF, 2020]
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