IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i18p4788-d1745173.html
   My bibliography  Save this article

Evaluation of Tuned Mass Damper for Offshore Wind Turbine Using Coupled Fatigue Analysis Method

Author

Listed:
  • Yongqing Lai

    (Powerchina Huadong Engineering Corporation Limited, Hangzhou 311122, China)

  • Xinyun Wu

    (Powerchina Huadong Engineering Corporation Limited, Hangzhou 311122, China)

  • Bin Wang

    (Powerchina Huadong Engineering Corporation Limited, Hangzhou 311122, China)

  • Yu Zhang

    (Institute of Earthquake Engineering, School of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China
    State Key Laboratory of Coastal and Offshore Engineering, School of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China)

  • Wenhua Wang

    (Institute of Earthquake Engineering, School of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China
    State Key Laboratory of Coastal and Offshore Engineering, School of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China)

  • Xin Li

    (Institute of Earthquake Engineering, School of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China
    State Key Laboratory of Coastal and Offshore Engineering, School of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China)

Abstract

This study proposes an integrated fatigue life assessment methodology to accurately evaluate the time-domain evolution in tubular joint fatigue damage in offshore wind turbine (OWT) jacket structures under long-term combined wind and wave actions. A customized post-processing module was developed via secondary development on the MLife platform, employing a conditional probability distribution model to perform joint probabilistic modeling of measured marine environmental data, thereby establishing a long-term joint wind–wave distribution database. The reconstruction of hotspot stress time histories at the tubular joints was achieved through a hybrid analytical–numerical approach, integrating analytical formulations of nominal stress with a multi-axial stress concentration factor (SCF) matrix. Long-term fatigue damage assessment was implemented using the Palmgren–Miner linear cumulative damage hypothesis, where a weighted summation methodology based on joint wind–wave probability distributions rigorously accounted for the statistical contributions of individual design load cases. An ultimate bearing capacity analysis was also conducted based on S-N fatigue endurance characteristic curves. This research specifically investigates the influence mechanisms of tuned mass dampers (TMDs) on the time-domain-coupled fatigue performance of tubular joints subjected to long-term combined wind and wave loads. Numerical simulations demonstrate that parametrically optimized TMD systems significantly enhance the fatigue life metrics of critical joints in jacket structures.

Suggested Citation

  • Yongqing Lai & Xinyun Wu & Bin Wang & Yu Zhang & Wenhua Wang & Xin Li, 2025. "Evaluation of Tuned Mass Damper for Offshore Wind Turbine Using Coupled Fatigue Analysis Method," Energies, MDPI, vol. 18(18), pages 1-21, September.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:18:p:4788-:d:1745173
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/18/4788/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/18/4788/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jeners:v:18:y:2025:i:18:p:4788-:d:1745173. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.