IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v187y2022icp1100-1117.html
   My bibliography  Save this article

Seismic responses of two bucket foundations for offshore wind turbines based on shaking table tests

Author

Listed:
  • Zhang, Puyang
  • Li, Jingyi
  • Le, Conghuan
  • Ding, Hongyan

Abstract

Sand liquefaction under seismic load causes severe failure of bucket foundations for offshore wind turbines. This study conducted shaking table tests for two different types of bucket foundations: mono bucket foundation (MBF) and composite bucket foundation (CBF). Furthermore, five groups of EI-Centro seismic waves with different intensities were applied. The excess pore water pressure and acceleration of the foundation soil were measured. The influences of bucket foundations on the seismic behavior of sand were explored by comparing the excess pore water pressure and acceleration at different positions. Moreover, the seismic responses of two types of bucket foundations were compared, and the effects of bulkheads in CBF on the seismic performance of foundation soil were clarified. The test results show that the seismic response of the soil inside the bucket is clearly suppressed compared with the soil outside the bucket, and thus the risk of liquefaction is lower. Furthermore, the seismic response of the CBF is significantly weaker than that of the MBF, and the anti-liquefaction performance of the CBF soil foundation is better. This implies that CBFs are safer than MBFs during earthquakes.

Suggested Citation

  • Zhang, Puyang & Li, Jingyi & Le, Conghuan & Ding, Hongyan, 2022. "Seismic responses of two bucket foundations for offshore wind turbines based on shaking table tests," Renewable Energy, Elsevier, vol. 187(C), pages 1100-1117.
  • Handle: RePEc:eee:renene:v:187:y:2022:i:c:p:1100-1117
    DOI: 10.1016/j.renene.2022.02.033
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122001756
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2022.02.033?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Xuefei & Yang, Xu & Zeng, Xiangwu, 2017. "Seismic centrifuge modelling of suction bucket foundation for offshore wind turbine," Renewable Energy, Elsevier, vol. 114(PB), pages 1013-1022.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Dayong & Zhao, Jipeng & Wu, Yuqi & Zhang, Yukun & Liang, Hao, 2024. "An innovative bionic offshore wind foundation: Scaled suction caisson," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).

    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. Wang, Xuefei & Zeng, Xiangwu & Li, Xinyao & Li, Jiale, 2019. "Investigation on offshore wind turbine with an innovative hybrid monopile foundation: An experimental based study," Renewable Energy, Elsevier, vol. 132(C), pages 129-141.
    2. Wang, Xuefei & Zeng, Xiangwu & Yang, Xu & Li, Jiale, 2019. "Seismic response of offshore wind turbine with hybrid monopile foundation based on centrifuge modelling," Applied Energy, Elsevier, vol. 235(C), pages 1335-1350.
    3. Conghuan Le & Yane Li & Hongyan Ding, 2019. "Study on the Coupled Dynamic Responses of a Submerged Floating Wind Turbine under Different Mooring Conditions," Energies, MDPI, vol. 12(3), pages 1-21, January.
    4. Sun, Wei & Lin, Wei-Cheng & You, Fei & Shu, Chi-Min & Qin, Sheng-Hui, 2019. "Prevention of green energy loss: Estimation of fire hazard potential in wind turbines," Renewable Energy, Elsevier, vol. 140(C), pages 62-69.
    5. Jiale Li & Xiong (Bill) Yu, 2017. "Analyses of the Extensible Blade in Improving Wind Energy Production at Sites with Low-Class Wind Resource," Energies, MDPI, vol. 10(9), pages 1-24, August.
    6. Li, Jiale & Yu, Xiong (Bill), 2018. "Onshore and offshore wind energy potential assessment near Lake Erie shoreline: A spatial and temporal analysis," Energy, Elsevier, vol. 147(C), pages 1092-1107.
    7. Mo, Renjie & Cao, Renjing & Liu, Minghou & Li, Miao, 2021. "Effect of ground motion directionality on seismic dynamic responses of monopile offshore wind turbines," Renewable Energy, Elsevier, vol. 175(C), pages 179-199.
    8. Wu, Xiaoni & Hu, Yu & Li, Ye & Yang, Jian & Duan, Lei & Wang, Tongguang & Adcock, Thomas & Jiang, Zhiyu & Gao, Zhen & Lin, Zhiliang & Borthwick, Alistair & Liao, Shijun, 2019. "Foundations of offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 379-393.
    9. Li, Jiale & Wang, Xuefei & Guo, Yuan & Yu, Xiong Bill, 2020. "The loading behavior of innovative monopile foundations for offshore wind turbine based on centrifuge experiments," Renewable Energy, Elsevier, vol. 152(C), pages 1109-1120.
    10. Wang, Xuefei & Zeng, Xiangwu & Yang, Xu & Li, Jiale, 2018. "Feasibility study of offshore wind turbines with hybrid monopile foundation based on centrifuge modeling," Applied Energy, Elsevier, vol. 209(C), pages 127-139.
    11. Guo, Yaohua & Zhang, Puyang & Ding, Hongyan & Le, Conghuan, 2021. "Design and verification of the loading system and boundary conditions for wind turbine foundation model experiment," Renewable Energy, Elsevier, vol. 172(C), pages 16-33.
    12. Subhamoy Bhattacharya & Suryakanta Biswal & Muhammed Aleem & Sadra Amani & Athul Prabhakaran & Ganga Prakhya & Domenico Lombardi & Harsh K. Mistry, 2021. "Seismic Design of Offshore Wind Turbines: Good, Bad and Unknowns," Energies, MDPI, vol. 14(12), pages 1-27, June.
    13. Li, Jiale & Wang, Xuefei & Yu, Xiong (Bill), 2018. "Use of spatio-temporal calibrated wind shear model to improve accuracy of wind resource assessment," Applied Energy, Elsevier, vol. 213(C), pages 469-485.
    14. Jian Zhang & Guo-Kai Yuan & Songye Zhu & Quan Gu & Shitang Ke & Jinghua Lin, 2022. "Seismic Analysis of 10 MW Offshore Wind Turbine with Large-Diameter Monopile in Consideration of Seabed Liquefaction," Energies, MDPI, vol. 15(7), pages 1-31, March.
    15. Li, Xinyao & Zeng, Xiangwu & Yu, Xiong & Wang, Xuefei, 2021. "Seismic response of a novel hybrid foundation for offshore wind turbine by geotechnical centrifuge modeling," Renewable Energy, Elsevier, vol. 172(C), pages 1404-1416.

    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:eee:renene:v:187:y:2022:i:c:p:1100-1117. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.