Spectral fatigue analysis for legs of wind turbine units

Yong Zhang; Lijun Qian; Xingqian Guo; Shumei Chen; Xuerong Sun; Mingsheng Xiahou

doi:10.1117/12.3025606

28 February 2024 Spectral fatigue analysis for legs of wind turbine units

Yong Zhang, Lijun Qian, Xingqian Guo, Shumei Chen, Xuerong Sun, Mingsheng Xiahou

Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 1307111 (2024) https://doi.org/10.1117/12.3025606
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China

Abstract

The analysis of spectral fatigue for wind turbine unit legs in this paper is grounded in dynamic analysis. The influence of weight in key areas, including the main hull, main deck, superstructure, cantilever, drilling floor, and others, is meticulously considered through the incorporation of mass elements. The calculation of Response Amplitude Operators (RAOs) for the legs is carried out using a frequency domain spectral analysis method. Critical fatigue locations are discerned by scrutinizing stress responses under design operating conditions, revealing vulnerabilities near the lower guides, spudcans, waterline, and specific chord and brace positions. The selected chords and braces, along with their respective locations, are visually depicted. Given that fatigue damage primarily results from cyclic load actions, this analysis excludes consideration of non-cyclic loads such as buoyancy and gravity. Additionally, the impact of wind load is not factored in; only fatigue resulting from wave and current loads is computed.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yong Zhang, Lijun Qian, Xingqian Guo, Shumei Chen, Xuerong Sun, and Mingsheng Xiahou "Spectral fatigue analysis for legs of wind turbine units", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 1307111 (28 February 2024); https://doi.org/10.1117/12.3025606

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