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<p>The deployment of offshore wind turbines for renewable energy generation is rapidly increasing. However, wave-induced fatigue remains a critical concern for marine structures. Given the stochastic nature of ocean waves and the significance of fatigue in structural integrity, developing fragility curves for wave-induced loading is a valuable tool for risk assessment. This study focuses on generating fragility curves for wave conditions in the Persian Gulf. Artificial wave data were employed, involving the generation of random wave records based on wave spectra, dynamic analysis, and stochastic result derivation. Fragility curves were subsequently developed using the generated data. Due to the limitations of field observation data, a novel method for generating random wave records with high accuracy is introduced. This method was applied to 5,000 analytical models to establish robust fragility curves. The results provide critical insights into the behavior of offshore structures under wave-induced fatigue and offer a practical framework for risk assessment in marine environments. This study contributes to the sustainable development of offshore wind energy by addressing key challenges in structural reliability.</p>

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Fatigue life fragility curves under irregular waves for offshore wind turbines constructed with monopile foundations in the Persian Gulf

  • 期刊论文

  • 发表日期：

    2026年5月29日

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  • Mahdi Saleh,
  • Rouhollah Amirabadi,
  • Mahdi Sharifi

摘要

The deployment of offshore wind turbines for renewable energy generation is rapidly increasing. However, wave-induced fatigue remains a critical concern for marine structures. Given the stochastic nature of ocean waves and the significance of fatigue in structural integrity, developing fragility curves for wave-induced loading is a valuable tool for risk assessment. This study focuses on generating fragility curves for wave conditions in the Persian Gulf. Artificial wave data were employed, involving the generation of random wave records based on wave spectra, dynamic analysis, and stochastic result derivation. Fragility curves were subsequently developed using the generated data. Due to the limitations of field observation data, a novel method for generating random wave records with high accuracy is introduced. This method was applied to 5,000 analytical models to establish robust fragility curves. The results provide critical insights into the behavior of offshore structures under wave-induced fatigue and offer a practical framework for risk assessment in marine environments. This study contributes to the sustainable development of offshore wind energy by addressing key challenges in structural reliability.