时变腐蚀损伤作用下海上风机结构响应预测方法研究

Prediction Method for Structural Response of Offshore Wind Turbines under Time-Varying Corrosion Damage

  • 摘要: 针对海上风机时变腐蚀效应,提出一种考虑时变腐蚀损伤作用下的海上风机结构响应预测方法。构建考虑结构几何损伤与材料性能退化特性的时变腐蚀等效模型,动态更新结构力学性能状态,结合CFD方法构建涵盖海上风机全服役期的高保真结构响应数据库并对结构时变劣化规律开展研究,阐明海上风机结构响应分布状态随腐蚀时变损伤的非线性关系,并基于插值推演算法增补未计算数据,实现关键结构响应数据的快速准确预测。结果表明,所构建的时变腐蚀等效模型,能够反映结构性能退化,实现海上风机结构腐蚀快速建模。结合CFD技术搭建的结构响应数据库,能够揭示结构响应演化特征。采样策略误差分析显示,密集采样策略应力与变形误差为0.31%和2.23%,中度采样策略仍具良好精度,而稀疏采样策略误差增至3.31%和8.71%,但结构整体响应演化趋势仍能准确反映。本文提出的预测方法能够快速、有效地反映海上风机结构响应特征与腐蚀损伤演化间的非线性关系,可为海上风电结构设计优化、长期性能评估及运维决策提供技术支撑。

     

    Abstract: A structural response prediction method for offshore wind turbines under time-varying corrosion damage is proposed for the time-varying corrosion effect of offshore wind turbines. A time-varying corrosion equivalent model is established that accounts for structural geometric damage and material property degradation, enabling dynamic updating of the structural mechanical performance. Combined with CFD methods, a high-fidelity structural response database covering the entire service life of offshore wind turbines is constructed to investigate the time-varying structural deterioration mechanism. The nonlinear relationship between the structural response distribution and time-varying corrosion damage is clarified. Furthermore, uncalculated data are supplemented using an interpolation and deduction algorithm, realizing rapid and accurate prediction of key structural response data. The results show that the established time-varying corrosion equivalent model can effectively reflect structural performance degradation and realize rapid corrosion modeling of offshore wind turbine structures. The structural response database constructed with CFD technology can reveal the evolutionary characteristics of structural responses. Error analysis of the sampling strategies indicates that the errors of stress and deformation under the dense sampling strategy are 0.31% and 2.23%, respectively, and the moderate sampling strategy still maintains satisfactory accuracy. Although the errors of the sparse sampling strategy increase to 3.31% and 8.71%, the overall evolutionary trend of the structural response can still be accurately captured.The prediction method proposed in this paper can quickly and effectively reflect the nonlinear relationship between structural response characteristics and corrosion damage evolution of offshore wind turbines, and can provide technical support for the design optimization, long-term performance evaluation and operation and maintenance decision-making of offshore wind turbine structures.

     

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