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Multiaxial fatigue assessment of jacket-supported offshore wind turbines considering multiple random correlated loads

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  • Han, Chaoshuai
  • Liu, Kun
  • Ma, Yongliang
  • Qin, Peijiang
  • Zou, Tao

Abstract

Fatigue analysis is an important part of the design process for offshore wind turbines (OWTs). The aerodynamic wind forces are the main fatigue loads, and are generally transformed into six load components: Fx, Fy, Fz, Mx, My, and Mz, which may lead to hotspots of concentrated multiaxial stress. In addition, the six wind load components may be correlated, which makes fatigue analysis complex. To address these issues, this paper derives and presents two new formulae to account for load correlation in the determination of stress power spectral density (PSD) from multiple random loads based on the interaction equation approach and the first principle stress approach. These two formulae form two frequency domain fatigue criteria to evaluate fatigue life of OWT support structures. Two frequency domain criteria are validated through comparison with full time domain analysis results.

Suggested Citation

  • Han, Chaoshuai & Liu, Kun & Ma, Yongliang & Qin, Peijiang & Zou, Tao, 2021. "Multiaxial fatigue assessment of jacket-supported offshore wind turbines considering multiple random correlated loads," Renewable Energy, Elsevier, vol. 169(C), pages 1252-1264.
    • Handle: RePEc:eee:renene:v:169:y:2021:i:c:p:1252-1264
    DOI: 10.1016/j.renene.2021.01.093
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    References listed on IDEAS

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    1. Li, He & Teixeira, Angelo P. & Guedes Soares, C., 2020. "A two-stage Failure Mode and Effect Analysis of offshore wind turbines," Renewable Energy, Elsevier, vol. 162(C), pages 1438-1461.
    2. Abdelbaky, Mohamed Abdelkarim & Liu, Xiangjie & Jiang, Di, 2020. "Design and implementation of partial offline fuzzy model-predictive pitch controller for large-scale wind-turbines," Renewable Energy, Elsevier, vol. 145(C), pages 981-996.
    3. Li, Xuan & Zhang, Wei, 2020. "Long-term assessment of a floating offshore wind turbine under environmental conditions with multivariate dependence structures," Renewable Energy, Elsevier, vol. 147(P1), pages 764-775.
    4. Liu, Jinsong & Thomas, Edwin & Goyal, Anshul & Manuel, Lance, 2019. "Design loads for a large wind turbine supported by a semi-submersible floating platform," Renewable Energy, Elsevier, vol. 138(C), pages 923-936.
    5. Li, Xuan & Zhang, Wei, 2020. "Long-term fatigue damage assessment for a floating offshore wind turbine under realistic environmental conditions," Renewable Energy, Elsevier, vol. 159(C), pages 570-584.
    6. Ju, Shen-Haw & Su, Feng-Chien & Ke, Yi-Pei & Xie, Min-Hsuan, 2019. "Fatigue design of offshore wind turbine jacket-type structures using a parallel scheme," Renewable Energy, Elsevier, vol. 136(C), pages 69-78.
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    Cited by:

    1. Ju, Shen-Haw, 2022. "Increasing the fatigue life of offshore wind turbine jacket structures using yaw stiffness and damping," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).

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