Aerodynamic-structural similarity criteria for scaled-down models of ultra-long wind turbine blade
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DOI: 10.1016/j.renene.2025.124184
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- Gao, Rongzhen & Yang, Junwei & Yang, Hua & Wang, Xiangjun, 2023. "Wind-tunnel experimental study on aeroelastic response of flexible wind turbine blades under different wind conditions," Renewable Energy, Elsevier, vol. 219(P2).
- Zhang, Xu & Zhang, Lijun & Wang, Kaifei & Cui, Xudong & Jing, Zhengjun & Liu, Ziyi & Liu, Shibo & Lu, Jiahui & Zhang, Yifan & Li, Jiaxuan, 2025. "Bionic inspired flutter suppression method for offshore ultra-long wind turbine blades," Renewable Energy, Elsevier, vol. 239(C).
- Wang, Lin & Liu, Xiongwei & Guo, Lianggang & Renevier, Nathalie & Stables, Matthew, 2014. "A mathematical model for calculating cross-sectional properties of modern wind turbine composite blades," Renewable Energy, Elsevier, vol. 64(C), pages 52-60.
- Alkhabbaz, Ali & Hamzah, Hudhaifa & Hamdoon, Omar Mohammed & Yang, Ho-Seong & Easa, Haider & Lee, Young-Ho, 2025. "A unique design of a hybrid wave energy converter," Renewable Energy, Elsevier, vol. 245(C).
- Wang, Xiangjun & Jiang, Lifeng & Amjad, Ali & Yang, Hua & Yang, Junwei, 2024. "Experimental investigation on Aeroelastic response of long flexible blades in turbulent flow," Applied Energy, Elsevier, vol. 375(C).
- Yu, Dong Ok & Kwon, Oh Joon, 2014. "Predicting wind turbine blade loads and aeroelastic response using a coupled CFD–CSD method," Renewable Energy, Elsevier, vol. 70(C), pages 184-196.
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