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1.中航工业北京长城计量测试技术研究所,北京 100095
2.北京航空航天大学航空科学与工程学院,北京 100191
3.中物院高性能数值模拟软件中心,成都 610200
Received:24 June 2025,
Revised:2025-11-21,
Published:28 April 2026
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盖玉新,康琬珩,李敏,等. 基于时域方法的风机叶片经典颤振分析[J]. 南京航空航天大学学报(自然科学版),2026,58(2):362⁃371.
GAI Yuxin, KANG Wanheng, LI Min, et al. Classical flutter analysis of wind turbine blades based on time‑domain method[J]. Journal of Nanjing University of Aeronautics & Astronautics(Natural Science Edition),2026, 58(2):362⁃371.
盖玉新,康琬珩,李敏,等. 基于时域方法的风机叶片经典颤振分析[J]. 南京航空航天大学学报(自然科学版),2026,58(2):362⁃371. DOI: 10.16356/j.2097-6771.2026.02.012.
GAI Yuxin, KANG Wanheng, LI Min, et al. Classical flutter analysis of wind turbine blades based on time‑domain method[J]. Journal of Nanjing University of Aeronautics & Astronautics(Natural Science Edition),2026, 58(2):362⁃371. DOI: 10.16356/j.2097-6771.2026.02.012.
随着风力发电机装机容量的快速增长,风机叶片正朝着更大、更柔性的方向发展,因此体现出了更多潜在的结构问题,尤其是叶片颤振或失速等气动弹性问题。风机叶片结构损坏会导致重大经济损失,而颤振问题比一般结构振动更具破坏性,因此在叶片设计过程中必须慎重考虑。本文提出了一种用于叶片经典颤振分析的时域耦合求解方法,克服了传统频域方法对线性假设的依赖,可应用于非线性复杂叶片模型。该方法将改进的叶素动量(Blade element momentum, BEM)理论、Theodorsen非定常气动理论与计算结构动力学(Computational structural dynamics, CSD)相结合,为工程应用中的快速经典颤振预测提供了新工具。研究发现,该方法能以较低的计算成本提供可接受的计算精度。作为应用案例,本文采用所开发方法对NREL 5 MW风力机叶片的经典颤振特性进行了分析和讨论,并将结果与其他研究对比验证了本文方法的可靠性。此外,文中还讨论了不同研究项目中各种模型假设对结果的影响。
With the rapid growth of the installed capacity of wind turbines, the blades are developed to be larger and more flexible, thus more potential structural problems arise inevitably, especially aeroelastic issues such as blade flutter or stall. The flutter problem should be carefully considered during the blade designing process, as it is more critically destructive than general structure vibrations, given the significant economic loss resulting from structural damage to these blades. This paper proposes a time‑domain coupled method for blade flutter analysis, which overcomes the reliance on linear assumptions inherent in traditional frequency‑domain approaches and thus can be applied to nonlinear complex models. The method integrates modified blade element momentum (BEM) theory with Theodorsen’s unsteady aerodynamic forces and computational structural dynamics (CSD), offering a new approach for rapid flutter prediction in engineering applications. It is found that this method can provide an acceptable accuracy at a relatively low computation cost. As an application, the flutter characteristic, by using the developed method, of the NREL 5 MW wind turbine blade is presented and discussed. The results are compared to those in other studies and verified to be reliable. Additionally, we investigate the effects of various assumptions made in various research projects to the results.
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