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The effect of delaminations on local buckling in wind turbine blades

Author

Listed:
  • Haselbach, P.U.
  • Bitsche, R.D.
  • Branner, K.

Abstract

In this article the effect of delaminations on the load carrying capacity of a large wind turbine blade is studied numerically. For this purpose an 8.65 m long blade section with different initial delaminations in the main spar was subjected to a flapwise dominated bending moment. The model was setup in Abaqus and cohesive elements were chosen for modelling delamination growth.

Suggested Citation

  • Haselbach, P.U. & Bitsche, R.D. & Branner, K., 2016. "The effect of delaminations on local buckling in wind turbine blades," Renewable Energy, Elsevier, vol. 85(C), pages 295-305.
    • Handle: RePEc:eee:renene:v:85:y:2016:i:c:p:295-305
    DOI: 10.1016/j.renene.2015.06.053
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    Citations

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    Cited by:

    1. Andrius Kulsinskas & Petar Durdevic & Daniel Ortiz-Arroyo, 2021. "Internal Wind Turbine Blade Inspections Using UAVs: Analysis and Design Issues," Energies, MDPI, vol. 14(2), pages 1-19, January.
    2. Verma, Amrit Shankar & Yan, Jiquan & Hu, Weifei & Jiang, Zhiyu & Shi, Wei & Teuwen, Julie J.E., 2023. "A review of impact loads on composite wind turbine blades: Impact threats and classification," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    3. Wen Xin & Hui Li & Xiaolong Lu & Bo Zhou, 2023. "Study on the Effect of Initial Delamination on Tensile Behavior of Offshore Wind Turbine Blade Spar Cap," Energies, MDPI, vol. 16(8), pages 1-19, April.
    4. Mathijs Peeters & Gilberto Santo & Joris Degroote & Wim Van Paepegem, 2018. "Comparison of Shell and Solid Finite Element Models for the Static Certification Tests of a 43 m Wind Turbine Blade," Energies, MDPI, vol. 11(6), pages 1-18, May.
    5. Jiménez, Alfredo Arcos & García Márquez, Fausto Pedro & Moraleda, Victoria Borja & Gómez Muñoz, Carlos Quiterio, 2019. "Linear and nonlinear features and machine learning for wind turbine blade ice detection and diagnosis," Renewable Energy, Elsevier, vol. 132(C), pages 1034-1048.
    6. Zengyi Zhang & Zhenru Shu, 2024. "Unmanned Aerial Vehicle (UAV)-Assisted Damage Detection of Wind Turbine Blades: A Review," Energies, MDPI, vol. 17(15), pages 1-31, July.
    7. Wenjie Wang & Yu Xue & Chengkuan He & Yongnian Zhao, 2022. "Review of the Typical Damage and Damage-Detection Methods of Large Wind Turbine Blades," Energies, MDPI, vol. 15(15), pages 1-31, August.

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