1. 西北工业大学 航空学院,西安,710072
2. 金风科技股份有限公司,乌鲁木齐,830026
3. 北京金风科创风电设备有限公司,北京,100176
王硕,研究方向:风力机气弹与风能利用. E-mail:wangshuonuaa@163.com
高传强*,研究方向:气动弹性力学,流动控制. E-mail:gaocq@nwpu.edu.cn
纸质出版:2026
移动端阅览
王硕, 吕品, 王虎, 等. 基于CFD-CSD耦合仿真的风力机气弹稳定性及载荷分析[J]. 空气动力学学报, 2026, 44(6): 101−112.
Wang Shuo, Lyu Pin, Wang Hu, et al. Analysis of aeroelastic stability and loads of wind turbines based on CFD-CSD coupled simulation[J]. 2026, 44(6): 101-112.
王硕, 吕品, 王虎, 等. 基于CFD-CSD耦合仿真的风力机气弹稳定性及载荷分析[J]. 空气动力学学报, 2026, 44(6): 101−112. DOI: 10.7638/kqdlxxb-2026.0042
Wang Shuo, Lyu Pin, Wang Hu, et al. Analysis of aeroelastic stability and loads of wind turbines based on CFD-CSD coupled simulation[J]. 2026, 44(6): 101-112. DOI: 10.7638/kqdlxxb-2026.0042.
针对超大型风力机轻量化发展面临的强非线性气动弹性瓶颈、传统叶素动量理论在大攻角分离流动工况下仿真精度不足以及现有流固耦合研究工况覆盖不全的工程痛点,本文构建了高精度、高稳定性的双向CFD-CSD耦合仿真方法。方法基于通用CFD求解器与自主研发的多体动力学软件GTSim搭建耦合框架,融合改进延迟分离涡湍流模型、铁木辛柯梁结构理论与渐进自适应多层级B-Spline动网格技术,实现了风力机叶片堆场、停机空转、并网发电等全工况下气弹响应精细化模拟,并通过多维度试验与对比开展算法验证。结果表明,本文方法对翼型气动力系数的仿真结果与实测结果的相对偏差小于5%,结构挠度仿真结果与行业标准Bladed软件偏差小于4.9%,常规发电工况载荷仿真结果与实测结果的相对偏差小于10%。同时CFD-CSD方法可精准捕捉极端工况下传统方法无法预测的气弹失稳与耦合振动特征,突破了传统方法的固有局限,可为大型风力机气弹设计与安全评估提供可靠技术支撑。
To address the strong nonlinear aeroelastic bottleneck in the lightweight development of ultra-large wind turbines
as well as the insufficient simulation accuracy of the traditional blade element momentum (BEM) theory under large-angle separated flow conditions and the incomplete coverage of working conditions in existing fluid-structure interaction studies
this paper developed a high-precision and high-stability bidirectional CFD-CSD coupled simulation method. A coupling framework was established using a general-purpose CFD solver and the self-developed multi-body dynamics software GTSim. By integrating the improved delayed detached eddy simulation (IDDES) turbulence model
Timoshenko beam theory
and a progressive adaptive multi-level B-Spline dynamic mesh technique
the proposed method enabled refined aeroelastic response simulations of wind turbine blades across full operating conditions
including blade stacking
parked idling
and grid-connected power generation. The method was validated through multi-dimensional experiments and comparisons. Results show that the relative deviation of the aerodynamic force coefficients calculated by the proposed method from experimental measurements is less than 5%
and the calculated structural deflection deviates by less than 4.9% from that obtained using the industry-standard software Bladed. Under normal power generation conditions
the relative deviation of load predictions from measured data is within 10%. Moreover
the method accurately captures aeroelastic instability and coupled vibration characteristics under extreme conditions that cannot be predicted by traditional methods. This approach overcomes the inherent limitations of conventional methods and provides reliable technical support for the aeroelastic design and safety assessment of large wind turbines.
Wang Tongguang, Tian Linlin, Zhong Wei, et al. Aerodynamic research progress in wind energy Ⅰ: wind turbine aerodynamic characteristics[J]. Acta Aerodynamica Sinica, 2022, 40(4): 1−21(in Chinese). doi: 10.7638/kqdlxxb-2021.0114
Veers P, Dykes K, Lantz E, et al. Grand challenges in the science of wind energy[J]. Science, 2019, 366(6464): eaau2027. doi: 10.1126/science.aau2027
Guma G, Bangga G, Lutz T, et al. Aeroelastic analysis of wind turbines under turbulent inflow conditions[J]. Wind Energy Science, 2021, 6(1): 93−110. doi: 10.5194/wes-6-93-2021
Huang J Y, Zhang H, Zhou C, et al. Nonlinear structural vibration of multi-megawatt vertical axis wind turbine blades-part 1: derivation of motion equations[J]. International Journal of Structural Stability and Dynamics, 2024, 24(12): 2450135. doi: 10.1142/s0219455424501359
Wang L, Liu X W, Kolios A. State of the art in the aeroelasticity of wind turbine blades: aeroelastic modelling[J]. Renewable and Sustainable Energy Reviews, 2016, 64: 195−210. doi: 10.1016/j.rser.2016.06.007
Zhao X, Jiang X, Zhu W D, et al. Semi-analytic solutions for the bending-bending-torsion coupled forced vibrations of a rotating wind turbine blade by means of Green’s functions[M]//Advances in Nonlinear Dynamics, Volume I. Cham: Springer Nature Switzerland, 2024: 85-96. DOI:10.1007/978-3-031-50631-4_8.
Shi Z J, Gao C Q, Zhang W W. Data-knowledge-driven dynamic stall modeling guided by stall patterns and semi-empirical model[J]. Physics of Fluids, 2025, 37(4): 045106. doi: 10.1063/5.0263116
Leng Jun, Gao Zhiteng, Zheng Xiaobo, et al. Aeroelastic analysis of a 5 MW offshore wind turbine based on actuator line method[J]. Acta Aerodynamica Sinica, 2022, 40(4): 203−209 (in Chinese). doi: 10.7638/kqdlxxb-2022.0048
Wu Hongxin, Ke Shitang, Wang Tongguang, et al. An efficient method for solving three-dimensional time-varying aerodynamic damping of wind turbine blades based on nested bem-gebt-hbm framework[J]. Chinese Journal of Theoretical and Applied Mechanics, 2025, 57(10): 2319−2331(in Chinese). doi: 10.6052/0459-1879-25-232
Pirrung G R, Grinderslev C, Sørensen N N, et al. Vortex-induced vibrations of wind turbines: from single blade to full rotor simulations[J]. Renewable Energy, 2024, 226: 120381. doi: 10.1016/j.renene.2024.120381
Santoni C, Khosronejad A, Yang X L, et al. Coupling turbulent flow with blade aeroelastics and control modules in large-eddy simulation of utility-scale wind turbines[J]. Physics of Fluids, 2023, 35: 015140. doi: 10.1063/5.0135518
Sarsenov E, Batay S, Baidullayeva A, et al. High fidelity 2-way dynamic fluid-structure-interaction (FSI) simulation of wind turbines based on arbitrary hybrid turbulence model (AHTM)[J]. Energies, 2025, 18(16): 4401. doi: 10.3390/en18164401
Della Posta G, Leonardi S, Bernardini M. A two-way coupling method for the study of aeroelastic effects in large wind turbines[J]. Renewable Energy, 2022, 190: 971−992. doi: 10.1016/j.renene.2022.03.158
Sun Y J, Lu Q S, Liu J. A parallel solver framework for fully implicit monolithic fluid-structure interaction[J]. Acta Mechanica Sinica, 2024, 41(2): 324074. doi: 10.1007/s10409-024-24074-x
Ntrelia K, Vandewalle S, Meyers J. Multirate time stepping for aeroelastic simulations of wind turbines using the actuator line model[J]. Computers Fluids, 2025, 291: 106574. doi: 10.1016/j.compfluid.2025.106574
Lu N Y, Lam J K, Lin Y, et al. Aeroelastic simulation of full-machine wind turbines using a two-way fluid-structure interaction approach[J]. Journal of Marine Science and Engineering, 2024, 12(12): 2271. doi: 10.3390/jmse12122271
Liu Rongxiang, Gao Chuanqiang, Zhang Weiwei. Study on the instability mechanism of wind turbine airfoil edgewise vibration based on the aeroelastic reduced order model[J]. Chinese Journal of Theoretical and Applied Mechanics, 2026, 58(3): 556−568 (in Chinese). doi: 10.6052/0459-1879-25-297
Lee S, Wolberg G, Shin S Y. Scattered data interpolation with multilevel B-splines[J]. IEEE Transactions on Visualization and Computer Graphics, 1997, 3(3): 228−244. doi: 10.1109/2945.620490
Shur M L, Spalart P R, Strelets M K, et al. A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities[J]. International Journal of Heat and Fluid Flow, 2008, 29(6): 1638−1649. doi: 10.1016/j.ijheatfluidflow.2008.07.001
Ladson C L. Effects of independent variation of Mach and Reynolds numbers on the low-speed aerodynamic characteristics of the NACA0012 airfoil section: NASA-TM-4074[R]. NASA, 1988.
Przemieniecki J S. Theory of matrix structural analysis[M]. New York: McGraw-Hill, 1968.
Xing Z T, Jia Y, Zhang L, et al. Research on wind turbine blade damage fault diagnosis based on GH bladed[J]. Journal of Marine Science and Engineering, 2023, 11(6): 1126. doi: 10.3390/jmse11061126
Wu X Y, Liu R X, Li Y, et al. Numerical simulation method for the aeroelasticity of flexible wind turbine blades under standstill conditions[J]. Energies, 2024, 17(14): 3395. doi: 10.3390/en17143395
Marušić D, Popović S, Kalafatić Z. Template matching in images using segmented normalized cross-correlation[C]//Proc of the 2025 MIPRO 48th ICT and Electronics Convention, Opatija, Croatia. IEEE, 2025: 36-42. doi: 10.1109/MIPRO65660.2025.11131796
0
浏览量
0
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621