Wind and Structures

  • 제18권2호
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  • Pages.103-116
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  • 2014
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  • 1226-6116(pISSN)
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  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Numerical and analytical study of aeroelastic characteristics of wind turbine composite blades

  • 투고 : 2013.03.17
  • 심사 : 2013.08.22
  • 발행 : 2014.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

Aeroelasticity is the main source of instability in structures which are subjected to aerodynamic forces. One of the major reasons of instability is the coupling of bending and torsional vibration of the flexible bodies, which is known as flutter. The presented investigation aims to study the aeroelastic stability of composite blades of wind turbine. Geometry, layup, and loading of the turbine blades made of laminated composites were calculated and evaluated. To study the flutter phenomenon of the blades, two numerical and analytical methods were selected. The finite element method (FEM), and JAR-23 standard were used to perform the numerical studies. In the analytical method, two degree freedom flutter and Lagrange's equations were employed to study the flutter phenomena analytically and estimate the flutter speed.

키워드

과제정보

연구 과제 주관 기관 : University of Kashan

참고문헌

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피인용 문헌

  1. Statistical wind prediction and fatigue analysis for horizontal-axis wind turbine composite material blade under dynamic loads vol.9, pp.9, 2017, https://doi.org/10.1177/1687814017724088
  2. Measurement and analysis of wind turbine blade mechanical load vol.7, pp.1, 2015, https://doi.org/10.1063/1.4905466
  3. Deep neural network-based wind speed forecasting and fatigue analysis of a large composite wind turbine blade pp.2041-2983, 2018, https://doi.org/10.1177/0954406218797972
  4. Towards a digital twin realization of the blade system design study wind turbine blade vol.28, pp.5, 2014, https://doi.org/10.12989/was.2019.28.5.271
  5. Enhancing aerodynamic performance of NACA 4412 aircraft wing using leading edge modification vol.29, pp.4, 2019, https://doi.org/10.12989/was.2019.29.4.271
  6. Flutter study of flapwise bend-twist coupled composite wind turbine blades vol.32, pp.3, 2021, https://doi.org/10.12989/was.2021.32.3.267
  7. Multi-objective structural optimization of a wind turbine blade using NSGA-II algorithm and FSI vol.93, pp.6, 2014, https://doi.org/10.1108/aeat-02-2021-0055