Wind and Structures

  • 제30권2호
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  • Pages.211-217
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  • 2020
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Dynamic behavior of smart material embedded wind turbine blade under actuated condition

  • Mani, Yuvaraja (Department of Mechanical Engineering, PSG college of Technology) ;
  • Veeraragu, Jagadeesh (Department of Mechanical Engineering, PSG college of Technology) ;
  • Sangameshwar, S. (Department of Mechanical Engineering, PSG college of Technology) ;
  • Rangaswamy, Rudramoorthy (Department of Mechanical Engineering, PSG college of Technology)
  • 투고 : 2018.09.10
  • 심사 : 2019.11.26
  • 발행 : 2020.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

Vibrations of a wind turbine blade have a negative impact on its performance and result in failure of the blade, therefore an approach to effectively control vibration in turbine blades are sought by wind industry. The small domestic horizontal axis wind turbine blades induce flap wise (out-of-plane) vibration, due to varying wind speeds. These flap wise vibrations are transferred to the structure, which even causes catastrophic failure of the system. Shape memory alloys which possess physical property of variable stiffness across different phases are embedded into the composite blades for active vibration control. Previously Shape memory alloys have been used as actuators to change their angles and orientations in fighter jet blades but not used for active vibration control for wind turbine blades. In this work a GFRP blade embedded with Shape Memory Alloy (SMA) and tested for its vibrational and material damping characteristics, under martensitic and austenite conditions. The embedment portrays 47% reduction in displacement of blade, with respect to the conventional blade. An analytical model for the actuated smart blade is also proposed, which validates the harmonic response of the smart blade.

키워드

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피인용 문헌

  1. Analytical model of shape memory alloy embedded smart beam, under actuated condition vol.27, pp.6, 2020, https://doi.org/10.12989/sss.2021.27.6.991
  2. Long-term fatigue reliability enhancement of horizontal axis wind turbine blade vol.33, pp.2, 2020, https://doi.org/10.12989/was.2021.33.2.169