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Reliability-Based Serviceability Limit State Design of a Jacket Substructure for an Offshore Wind Turbine

Author

Listed:
  • Jianhua Zhang

    (College of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, China)

  • Won-Hee Kang

    (Centre for Infrastructure Engineering, Western Sydney University, Sydney, NSW 2751, Australia)

  • Ke Sun

    (College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China)

  • Fushun Liu

    (College of Engineering, Ocean University of China, Qingdao 266100, China)

Abstract

The development of a structurally optimized foundation design has become one of the main research objectives for offshore wind turbines (OWTs). The design process should be carried out in a probabilistic way due to the uncertainties involved, such as using parametric uncertainties regarding material and geometric properties, and model uncertainties in resistance prediction models and regarding environmental loads. Traditional simple deterministic checking procedures do not guarantee an optimized design because the associated uncertainties are not fully considered. In this paper, a reliability analysis framework is proposed to support the optimized design of jacket foundations for OWTs. The reliability analysis mainly considers the serviceability limit state of the structure according to the requirements of the code. The framework consists of two parts: (i) an important parameter identification procedure based on statistical correlation analysis and (ii) a finite element-simulation-based reliability estimation procedure. The procedure is demonstrated through a jacket structure design of a 3 MW OWT. The analysis results show that the statistical correlation analysis can help to identify the parameters necessary for the overall structural performance. The Latin hypercube sampling and the Monte Carlo simulation using FE models effectively and efficiently evaluate the reliability of the structure while not relying on a surrogate limit state function. A comparison between the proposed framework and the deterministic design shows that the framework can help to achieve a better result closer to the target reliability level.

Suggested Citation

  • Jianhua Zhang & Won-Hee Kang & Ke Sun & Fushun Liu, 2019. "Reliability-Based Serviceability Limit State Design of a Jacket Substructure for an Offshore Wind Turbine," Energies, MDPI, vol. 12(14), pages 1-16, July.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2751-:d:249450
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    References listed on IDEAS

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    1. Heptonstall, Philip & Gross, Robert & Greenacre, Philip & Cockerill, Tim, 2012. "The cost of offshore wind: Understanding the past and projecting the future," Energy Policy, Elsevier, vol. 41(C), pages 815-821.
    2. Youngjin Kim & Oh Joon Kwon, 2019. "Effect of Platform Motion on Aerodynamic Performance and Aeroelastic Behavior of Floating Offshore Wind Turbine Blades," Energies, MDPI, vol. 12(13), pages 1-24, June.
    3. Fushun Liu & Xingguo Li & Zhe Tian & Jianhua Zhang & Bin Wang, 2019. "Transient Response Estimation of an Offshore Wind Turbine Support System," Energies, MDPI, vol. 12(5), pages 1-17, March.
    4. Yang, Hezhen & Zhu, Yun & Lu, Qijin & Zhang, Jun, 2015. "Dynamic reliability based design optimization of the tripod sub-structure of offshore wind turbines," Renewable Energy, Elsevier, vol. 78(C), pages 16-25.
    5. Ziegler, Lisa & Voormeeren, Sven & Schafhirt, Sebastian & Muskulus, Michael, 2016. "Design clustering of offshore wind turbines using probabilistic fatigue load estimation," Renewable Energy, Elsevier, vol. 91(C), pages 425-433.
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    Cited by:

    1. Thanh-Tuan Tran & Sangkyun Kang & Jang-Ho Lee & Daeyong Lee, 2021. "Directional Bending Performance of 4-Leg Jacket Substructure Supporting a 3MW Offshore Wind Turbine," Energies, MDPI, vol. 14(9), pages 1-17, May.

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