超大型风力机长柔叶片颤振边界预测方法研究

张险峰; 王速; 马璐; 郭昊; 沈昕; 杜朝辉

doi:10.19912/j.0254-0096.tynxb.2024-2174

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超大型风力机长柔叶片颤振边界预测方法研究

更新时间：2026-07-21

- 超大型风力机长柔叶片颤振边界预测方法研究
- 超大型风力机长柔叶片颤振边界预测方法研究
- 太阳能学报 2026年47卷第5期页码：190-196
- 作者机构：
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- DOI：10.19912/j.0254-0096.tynxb.2024-2174
  中图分类号： TK89
- 网络首发：2026-06-04，
  
  纸质出版：2026
- 稿件说明：
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张险峰, 王速, 马璐, 等. 超大型风力机长柔叶片颤振边界预测方法研究[J]. 太阳能学报, 2026,47(5):190-196.

张险峰, 王速, 马璐, et al. 超大型风力机长柔叶片颤振边界预测方法研究[J]. 2026, 47(5): 190-196.
张险峰, 王速, 马璐, 等. 超大型风力机长柔叶片颤振边界预测方法研究[J]. 太阳能学报, 2026,47(5):190-196. DOI： 10.19912/j.0254-0096.tynxb.2024-2174.

张险峰, 王速, 马璐, et al. 超大型风力机长柔叶片颤振边界预测方法研究[J]. 2026, 47(5): 190-196. DOI： 10.19912/j.0254-0096.tynxb.2024-2174.

摘要

模拟飞车工况一直是风力机颤振边界预测的主要手段之一

但该方法应用于非线性特性强烈的百米级以上长柔叶片的有效性需要检验。以IEA 15 MW风力机叶片为研究对象

建立叶片气弹系统动力学模型

对模拟飞车工况的气弹响应进行分析

并与定边界条件下数值模拟得到的预测颤振边界进行对比。结果显示

虽最终预测的叶片颤振特征一致

但采用模拟飞车工况方法预测的失控颤振边界显著滞后于定边界条件计算工况下的预测结果。进一步分析发现

模拟飞车工况下

在风轮转速失稳前叶片已处于气弹失稳状态

该过程中由于风轮转速上升吸收了大量能量

延缓了叶片振幅的积累

叶片仅以1阶挥舞模态的形式小幅振动并缓慢增强

直至达到失控颤振边界后振动在短时间内迅速发散。

Abstract

Under the large-scale development trend of wind turbines

the flexibility of blades increases and the flutter margin decreases. The possible flutter problems have become an important consideration in the safety design of wind turbines. Simulating runaway conditions has always been one of the main approaches for predicting the flutter boundary of wind turbines. However

the validity of this method when applied to the strongly nonlinear characteristics of long and flexible blades over 100 meters in length requires examination. In this paper

the IEA 15 MW wind turbine blade is taken as the research object

and a dynamic model of the blade's aeroelastic system is established. The aeroelastic response under the simulated runaway conditions is analyzed and compared with the predicted flutter boundary obtained through numerical simulation under fixed boundary conditions. The results indicate that although the final predicted flutter characteristics of the blade are consistent

the predicted flutter boundary obtained by simulating the runaway conditions is significantly lags behind the prediction results under fixed boundary conditions. Further analysis reveals that under the simulated runaway conditions

the blades were already in an aeroelastic instability state before the instability of the wind turbine rotor speed occurred. During this process

the increase in the rotor speed absorbed a significant amount of energy

which delayed the accumulation of the blade flutter amplitude. The blades merely vibrated slightly in the form of the 1st flap mode and strengthened slowly until the vibration rapidly diverged within a short period of time after reaching the uncontrollable flutter boundary.

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references

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