IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v232y2018i6p598-606.html
   My bibliography  Save this article

Fatigue life prediction of wind turbine rotor blade composites considering the combined effects of stress amplitude and mean stress

Author

Listed:
  • Jianxiong Gao
  • Zongwen An
  • Haixia Kou

Abstract

To predict fatigue life of wind turbine rotor blade composites under random loads, the combined effects of stress amplitude and mean stress are considered. First, the generalized σ–N curved surface is introduced to characterize the fatigue properties of composites under constant amplitude cyclic load. Then, a modified Miner’s rule is developed to reveal the evolution process of fatigue damage under variable amplitude cyclic loads. Finally, a fatigue life prediction model is presented based on the total probability formula and the modified Miner’s rule, which can reflect the combined effects of stress amplitude and mean stress on fatigue life. The experimental data of wind turbine rotor blade composites are used to illustrate the specific process of the proposed method; the results indicate that the prediction values of the developed method are reasonable and effective.

Suggested Citation

  • Jianxiong Gao & Zongwen An & Haixia Kou, 2018. "Fatigue life prediction of wind turbine rotor blade composites considering the combined effects of stress amplitude and mean stress," Journal of Risk and Reliability, , vol. 232(6), pages 598-606, December.
    • Handle: RePEc:sae:risrel:v:232:y:2018:i:6:p:598-606
    DOI: 10.1177/1748006X17751495
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X17751495
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1748006X17751495?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jang, Yun Jung & Choi, Chan Woong & Lee, Jang Ho & Kang, Ki Weon, 2015. "Development of fatigue life prediction method and effect of 10-minute mean wind speed distribution on fatigue life of small wind turbine composite blade," Renewable Energy, Elsevier, vol. 79(C), pages 187-198.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bashirzadeh Tabrizi, Amir & Whale, Jonathan & Lyons, Thomas & Urmee, Tania & Peinke, Joachim, 2017. "Modelling the structural loading of a small wind turbine at a highly turbulent site via modifications to the Kaimal turbulence spectra," Renewable Energy, Elsevier, vol. 105(C), pages 288-300.
    2. Liang Lu & Minyan Zhu & Haijun Wu & Jianzhong Wu, 2022. "A Review and Case Analysis on Biaxial Synchronous Loading Technology and Fast Moment-Matching Methods for Fatigue Tests of Wind Turbine Blades," Energies, MDPI, vol. 15(13), pages 1-34, July.
    3. Lu, Liang & Wu, Haijun & Wu, Jianzhong, 2021. "A case study for the optimization of moment-matching in wind turbine blade fatigue tests with a resonant type exciting approach," Renewable Energy, Elsevier, vol. 174(C), pages 769-785.
    4. Meng, Hang & Lien, Fue-Sang & Li, Li, 2018. "Elastic actuator line modelling for wake-induced fatigue analysis of horizontal axis wind turbine blade," Renewable Energy, Elsevier, vol. 116(PA), pages 423-437.
    5. Precious Chisom Jumbo-Egwurugwu & Franklin Okoro & Ibe Emmanuel & Obo-Obaa Elera Njiran, 2022. "Technical Evaluation of Cathodic Protection of Subsea Structures," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 9(4), pages 01-05, April.
    6. Antoine Chrétien & Antoine Tahan & Philippe Cambron & Adaiton Oliveira-Filho, 2023. "Operational Wind Turbine Blade Damage Evaluation Based on 10-min SCADA and 1 Hz Data," Energies, MDPI, vol. 16(7), pages 1-18, March.
    7. Evans, S.P. & Bradney, D.R. & Clausen, P.D., 2018. "Assessing the IEC simplified fatigue load equations for small wind turbine blades: How simple is too simple?," Renewable Energy, Elsevier, vol. 127(C), pages 24-31.
    8. Menegozzo, L. & Dal Monte, A. & Benini, E. & Benato, A., 2018. "Small wind turbines: A numerical study for aerodynamic performance assessment under gust conditions," Renewable Energy, Elsevier, vol. 121(C), pages 123-132.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:risrel:v:232:y:2018:i:6:p:598-606. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.