重庆大学学报2025，Vol.48Issue(1)：76-89,14.DOI:10.11835/j.issn.1000-582X.2025.01.008
大型风力机叶片快速建模及损伤模拟方法研究
Wind turbine blades rapid modeling and damage simulation method
摘要
Abstract
In the damage detection of composite blade,it is very important to accurately and rapidly obtain the dynamic characteristics of blade before and after blade damage.Therefore,an efficient numerical calculation method for composite blade damage simulation was proposed under the finite element framework based on the homogenization of composite materials,extended Bredt-Batho shear flow theory and damage stiffness degradation theory,and the corresponding finite element program is developed based on Python language.On this basis,the composite sandwich cantilever beam is taken as the research object and compared with ANSYS calculation results to verify the rationality of the composite material homogenization method.At the same time,it is applied to simulate the modal calculation of NREL 5MW fan blade under different damage conditions.The results show that the numerical calculation method can simulate the blade leading edge crack damage well.The blade frequency gradually decreases with the deepening of damage degree.The leading edge crack has more influence on blade flapping direction.Under the same damage degree,the frequency of blade leading edge crack decreases more as it gets closer to the root.The leading edge crack at the blade root has a great influence on the blade oscillation direction,while the leading edge crack at the blade tip has a great influence on the blade oscillation direction.The blade leading edge crack has little effect on the natural frequency,and the curvature damage factor calculated by the mode displacement of the flapping direction can be used as the damage identification index to identify the blade leading edge crack damage effectively.关键词
风机叶片/复合材料/有限单元法/损伤模拟/模态分析Key words
wind turbine blade/composite material/finite element method/damage simulation/modal analysis分类
土木建筑引用本文复制引用
刘纲,杜昊天,顾水涛,黎华..大型风力机叶片快速建模及损伤模拟方法研究[J].重庆大学学报,2025,48(1):76-89,14.基金项目
国家自然科学基金资助项目(52078084) （52078084）
重庆市技术创新与应用发展专项资助项目(cstc2020jscx-msxmX0180).Supported by National Natural Science Foundation of China(52078084),Chongqing Technology Innovation and Application Development Project(cstc2020jscx-msxmX0180). （cstc2020jscx-msxmX0180）
