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<p>The offshore wind substation is a critical infrastructure that connects offshore and onshore power grids, with the jacket platform being one of the most common structural types. However, the substantial axial load generated by electrical equipment in the platform legs can significantly impact structural vibration performance and load-bearing capacity. Accurate identification of axial forces in the legs is essential for developing high-fidelity numerical models, ensuring intelligent operation and maintenance. Additionally, determining boundary condition is crucial for constructing a reliable structural model. Building on previous research, this paper proposes a method to simultaneously identify axial forces and boundary condition in the legs, validated through single-beam and scaled-model experiments. Numerical simulations demonstrate that the method’s identification accuracy is unaffected by reference point selection. Scaled-model tests further confirm that environmental excitation responses can effectively identify axial forces.</p>

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Identification method of axial force and boundary condition parameter for offshore wind substation based on modal analysis

  • 期刊论文

  • 发表日期：

    2025年5月21日

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  • Tongtong Dai,
  • Wenqiang Jiang,
  • Ziguang Jia

摘要

The offshore wind substation is a critical infrastructure that connects offshore and onshore power grids, with the jacket platform being one of the most common structural types. However, the substantial axial load generated by electrical equipment in the platform legs can significantly impact structural vibration performance and load-bearing capacity. Accurate identification of axial forces in the legs is essential for developing high-fidelity numerical models, ensuring intelligent operation and maintenance. Additionally, determining boundary condition is crucial for constructing a reliable structural model. Building on previous research, this paper proposes a method to simultaneously identify axial forces and boundary condition in the legs, validated through single-beam and scaled-model experiments. Numerical simulations demonstrate that the method’s identification accuracy is unaffected by reference point selection. Scaled-model tests further confirm that environmental excitation responses can effectively identify axial forces.