江苏大学主页平台管理系统王龙滟--中文主页--论文成果

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王龙滟

学位：博士
性别：男
学历：博士研究生毕业
所在单位：流体机械工程技术研究中心

论文成果

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王龙滟. A novel generative approach to the parametric design and multi-objective optimization of horizont...
王龙滟. Deep learning enhanced fluid-structure interaction analysis for composite tidal turbine blades
王龙滟. Super-resolution reconstruction framework of wind turbine wake: Design and application
王龙滟. Effectiveness of wake control optimization for multiple in-line wind turbines by combinatorial ma...
王龙滟. A reduced order modeling-based machine learning approach for wind turbine wake flow estimation fr...
王龙滟. DLFSI: A deep learning static fluid-structure interaction model for hydrodynamic-structural optim...
王龙滟. Dynamic wake field reconstruction of wind turbine through Physics-Informed Neural Network and Spa...
王龙滟. A novel generative-predictive data-driven approach for multi-objective optimization of horizontal...
王龙滟. Effectiveness of cooperative yaw control based on reinforcement learning for in-line multiple win...
王龙滟. Wind turbine dynamic wake flow estimation (DWFE) from sparse data via reduced-order modeling-base...
王龙滟. A deep learning framework for reconstructing experimental missing flow field of hydrofoil
王龙滟. A cost-effective CNN-BEM coupling framework for design optimization of horizontal axis tidal turb...
王龙滟. A novel cost-efficient deep learning framework for static fluid–structure interaction analysis o...
王龙滟. Flow reconstruction from sparse sensors based on reduced-order autoencoder state estimation
王龙滟. Study of cooperative wake control for multiple wind turbines under variable wind speeds/direction...
王龙滟. Reconstruction of missing flow field from imperfect turbulent flows by machine learning

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个人信息

王龙滟

论文成果

王龙滟. A novel generative approach to the parametric design and multi-objective optimization of horizont...

王龙滟. Deep learning enhanced fluid-structure interaction analysis for composite tidal turbine blades

王龙滟. Super-resolution reconstruction framework of wind turbine wake: Design and application

王龙滟. Effectiveness of wake control optimization for multiple in-line wind turbines by combinatorial ma...

王龙滟. A reduced order modeling-based machine learning approach for wind turbine wake flow estimation fr...

王龙滟. DLFSI: A deep learning static fluid-structure interaction model for hydrodynamic-structural optim...

王龙滟. Dynamic wake field reconstruction of wind turbine through Physics-Informed Neural Network and Spa...

王龙滟. A novel generative-predictive data-driven approach for multi-objective optimization of horizontal...

王龙滟. Effectiveness of cooperative yaw control based on reinforcement learning for in-line multiple win...

王龙滟. Wind turbine dynamic wake flow estimation (DWFE) from sparse data via reduced-order modeling-base...

王龙滟. A deep learning framework for reconstructing experimental missing flow field of hydrofoil

王龙滟. A cost-effective CNN-BEM coupling framework for design optimization of horizontal axis tidal turb...

王龙滟. A novel cost-efficient deep learning framework for static fluid–structure interaction analysis o...

王龙滟. Flow reconstruction from sparse sensors based on reduced-order autoencoder state estimation

王龙滟. Study of cooperative wake control for multiple wind turbines under variable wind speeds/direction...

王龙滟. Reconstruction of missing flow field from imperfect turbulent flows by machine learning