风电叶片主梁结构的多尺度可靠性优化设计  

Multi-scale reliability-based design optimization of main beam structure for wind turbine blades

作　　者：陈振中 张鑫桂 李晓科 黄小玲 吴子豪 慕昊勋 邱桂明 CHEN Zhenzhong;ZHANG Xingui;LI Xiaoke;HUANG Xiaoling;WU Zihao;MU Haoxun;QIU Guiming(College of Mechanical Engineering,Donghua University,Shanghai,China;Shanghai Micro Electronics Equipment(GROUP)Co.,Ltd.,Shanghai,China;College of Mechanical and Electrical Engineering,Zhengzhou University of Light Industry,Zhengzhou,Henan,China)

机构地区：[1]东华大学机械工程学院,上海201620 [2]上海微电子装备(集团)股份有限公司,上海 [3]郑州轻工业大学机电工程学院,河南郑州

出　　处：《东华大学学报（自然科学版）》2024年第5期85-93,共9页Journal of Donghua University(Natural Science)

基　　金：中央高校基本科研业务费专项资金(23D110316);国家自然科学基金(52375236,51905492);上海市自然科学基金(19ZR1401600)

摘　　要：针对风电叶片大型化所引起的材料性能不足以及可靠性难以保证等问题,研究了碳纤维复合材料在风电叶片中的应用和主梁结构的优化设计。基于复合材料的多尺度特征,使用代表体积单元(RVE)的均匀化方法预测其等效弹性属性;建立一个主梁结构的参数化有限元分析模型,对其在挥舞和摆振两个加载工况下进行分析;将位移、应力、等效塑性应变等响应作为约束函数,建立以轻量化为目标的可靠性优化模型。结果表明,经过可靠性设计优化后的风电叶片主梁结构满足可靠性和轻量化的要求,且其各部分材料的性能得到了充分的发挥。The application of carbon fiber composites in wind turbine blades and the optimized design of the main beam structure are further investigated for the problems of inadequate material performance and difficulty in guaranteeing reliability caused by the large-scale wind turbine blades.The equivalent elastic properties of the composite material are predicted using the representative volume element(RVE)homogenization method based on the multi-scale characteristics of the composite material.The behavior of the structure under the loading directions of waving and oscillation is analyzed by establishing a parameterized finite element analysis model of the spar structure.A reliability-based design optimization model is constructed with the goal of light weight,and the displacement,stress,and equivalent plastic strain responses are used as constraint functions.The results show that the main beam structure not only meets the requirements of reliability and lightweight,but also the performance of its various parts of materials has been fully exploited.

关 键 词：风电叶片 主梁结构 可靠性优化 多尺度 参数化模型 碳纤维复合材料 

分 类 号：TB332[一般工业技术—材料科学与工程]