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<p>The platforms of large-scale floating offshore wind turbines (FOWTs) are constantly subjected to severe environmental coupling loads, leading to highly nonlinear and complex dynamics in their six degrees of freedom (6-DOF) responses. This work focuses on the IEA 15&#xa0;MW semi-submersible wind turbine to explore its chaotic characteristics through the dynamic responses of the platform, demonstrating the innovative application of chaos theory in studying platform dynamic stability. Qualitative methods, including phase diagrams, violin plots, and phase space reconstruction, are ingeniously employed for the initial detection of platform chaotic characteristics. Furthermore, the Maximum Lyapunov exponent (MLE) and Maximum prediction time (MPT) are proposed as reliable quantitative methods to determine platform chaotic response, which are more accurate than the existing time history diagrams. The results highlight that left-skewed and right-skewed distribution characteristics in the violin plots illustrate an intuitive understanding of dynamic responses, with multiple peaks revealing the diversity and complexity of platform responses. Consistently positive MLE values confirm the intrinsic chaotic nature of platform dynamic responses. Under more demanding environmental conditions, the 6-DOF dynamics exhibit higher complexity and more pronounced chaotic characteristics, accompanied by a reduction in MPT. This research establishes a novel framework for analyzing the platform chaotic response of large-scale FOWTs.</p>

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Integrated framework for the analysis and application of chaotic characteristics in the dynamic response of a 15 MW floating wind turbine semi-submersible platform

  • 期刊论文

  • 发表日期：

    2026年4月25日

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  • Bo Qin,
  • Ying Zhang

摘要

The platforms of large-scale floating offshore wind turbines (FOWTs) are constantly subjected to severe environmental coupling loads, leading to highly nonlinear and complex dynamics in their six degrees of freedom (6-DOF) responses. This work focuses on the IEA 15 MW semi-submersible wind turbine to explore its chaotic characteristics through the dynamic responses of the platform, demonstrating the innovative application of chaos theory in studying platform dynamic stability. Qualitative methods, including phase diagrams, violin plots, and phase space reconstruction, are ingeniously employed for the initial detection of platform chaotic characteristics. Furthermore, the Maximum Lyapunov exponent (MLE) and Maximum prediction time (MPT) are proposed as reliable quantitative methods to determine platform chaotic response, which are more accurate than the existing time history diagrams. The results highlight that left-skewed and right-skewed distribution characteristics in the violin plots illustrate an intuitive understanding of dynamic responses, with multiple peaks revealing the diversity and complexity of platform responses. Consistently positive MLE values confirm the intrinsic chaotic nature of platform dynamic responses. Under more demanding environmental conditions, the 6-DOF dynamics exhibit higher complexity and more pronounced chaotic characteristics, accompanied by a reduction in MPT. This research establishes a novel framework for analyzing the platform chaotic response of large-scale FOWTs.