华中科技大学学报（自然科学版）2026，Vol.54Issue(1)：33-39,7.DOI:10.13245/j.hust.240401
非线性对不同尺寸长柔叶片动态响应的影响
Impact of nonlinearity on the dynamic response of long and flexible blades with varying sizes
摘要
Abstract
To investigate the impact of geometric nonlinearity on the response of wind turbine blades of different sizes,a blade nonlinear dynamic response analysis method was constructed based on the geometrically exact beam theory(GEBT)and the blade element momentum theory considering geometric nonlinear effects.The numerical accuracy of GEBT for beam nonlinear deformation and the dynamic response of the full-size wind turbine was validated using a cantilever beam example and the IEA 15 MW wind turbine example,respectively.Afterwards,5～22 MW wind turbines were taken as the research objects,and the linear and nonlinear methods were used to analyze the response of wind turbines under steady wind and turbulent wind conditions,respectively.The results show that under steady wind conditions,after considering the geometric nonlinearity,the turbine power near the rated wind speed has a deviation of 0.001 2%,2.13%and 4.79%respectively compared with the results of the linear method;the blade tip flapping displacement deviations are 0.73%,10.24%and 21.68%respectively.Under turbulent wind conditions,the maximum energy deviations of the flapwise tip deflection,the flapwise root moment and the edgewise root moment of the 22 MW wind turbine in the low-frequency region are 51.77%,63.52%,and 40.25%,respectively.Geometric nonlinearity has a significant impact on the calculation of blade loads and power of large wind turbines,and nonlinear methods are more suitable for dynamic response analysis of large wind turbines.关键词
风电机组/长柔叶片/几何非线性/动态响应/时频分析Key words
wind turbine/long and flexible blades/geometric nonlinear/dynamic response/time-frequency analysis分类
能源科技引用本文复制引用
李寿图,马龙军,郜志腾,钱晓航..非线性对不同尺寸长柔叶片动态响应的影响[J].华中科技大学学报（自然科学版）,2026,54(1):33-39,7.基金项目
国家自然科学基金资助项目(12162022,12302301) （12162022,12302301）
广东省基础与应用基础研究基金海上风电联合基金资助项目(2024A1515240050) （2024A1515240050）
国家重点研发计划资助项目(2023YFB4203100) （2023YFB4203100）
青年博士支持项目(2024QB-034). （2024QB-034）
