Prediction of Fatigue Life at the Root Section of Offshore Single-Pile Wind Turbine Tower

This study presents a comprehensive investigation into multi-directional fatigue damage characteristics of fixed offshore wind turbine tower roots through comparative analysis using FAST (3.5.0) and Bladed (4.3) software platforms. The research methodology encompasses three principal phases: First, a stochastic wind field model was developed through statistical analysis of historical wind speed measurements, achieving superior correlation (R2 = 0.983) in goodness-of-fit tests. Subsequently, the rain flow counting technique was employed to characterize equivalent cyclic load spectra. Building upon these foundations, an integrated predictive fatigue life evaluation framework was formulated by synergistically combining S–N curve principles with Palmgren–Miner’s linear cumulative damage theory. The methodology was further validated through cross-platform verification with Bladed software, revealing only a 7.4% deviation in predicted fatigue lives between the two computational models, confirming the technical feasibility of the proposed simplified model.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-03-20
DOI
https://doi.org/10.3390/jmse13030620
Citations
1
Primary Topic
Engineering Structural Analysis Methods
Type
article
Field-Weighted Citation Impact
0.71
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article

Prediction of Fatigue Life at the Root Section of Offshore Single-Pile Wind Turbine Tower

Michael G. Kong, Hu Ying, Xiaojie Tian, Lele Li et al.
1 citations
Journal of Marine Science and Engineering
Engineering Structural Analysis Methods
0.71
article

Prediction of Fatigue Life at the Root Section of Offshore Single-Pile Wind Turbine Tower

Michael G. Kong, Hu Ying, Xiaojie Tian, Lele Li, Xingguo Gao, Zengliang Chang
article en
1 citations

Abstract

This study presents a comprehensive investigation into multi-directional fatigue damage characteristics of fixed offshore wind turbine tower roots through comparative analysis using FAST (3.5.0) and Bladed (4.3) software platforms. The research methodology encompasses three principal phases: First, a stochastic wind field model was developed through statistical analysis of historical wind speed measurements, achieving superior correlation (R2 = 0.983) in goodness-of-fit tests. Subsequently, the rain flow counting technique was employed to characterize equivalent cyclic load spectra. Building upon these foundations, an integrated predictive fatigue life evaluation framework was formulated by synergistically combining S–N curve principles with Palmgren–Miner’s linear cumulative damage theory. The methodology was further validated through cross-platform verification with Bladed software, revealing only a 7.4% deviation in predicted fatigue lives between the two computational models, confirming the technical feasibility of the proposed simplified model.

Journal of Marine Science and EngineeringVol. 13(3)
China Power Engineering Consulting Group (China) (CN), Shandong Electric Power Engineering Consulting Institute Corp (CN), Ocean University of China (CN)
Openalex Percentile: Top 35%
Engineering Structural Analysis Methods
0.71
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Prediction of Fatigue Life at the Root Section of Offshore Single-Pile Wind Turbine Tower — Michael G. Kong, Hu Ying, et al. · Journal of Marine Science and Engineering (2025) | TGRS Research Map | TGRS