A novel cost-efficient deep learning framework for static fluid–structure interaction analysis of hydrofoil in tidal turbine morphing blade
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DOI: 10.1016/j.renene.2023.03.085
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- Xu, Jian & Wang, Longyan & Yuan, Jianping & Luo, Zhaohui & Wang, Zilu & Zhang, Bowen & Tan, Andy C.C., 2024. "DLFSI: A deep learning static fluid-structure interaction model for hydrodynamic-structural optimization of composite tidal turbine blade," Renewable Energy, Elsevier, vol. 224(C).
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Keywords
Flexible hydrofoil; Elastic deformation; Fluid structure interaction; Convolutional neural network; Finite element method;All these keywords.
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