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基于单粒子寻优算法的铺层装备支架梁结构优化设计 被引量:1

Optimization design of support beam of laying equipment based on single-particle optimization
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摘要 针对风电叶片玻璃纤维布铺层装备的支架梁优化设计,文章提出了面向双参数的单粒子寻优算法对其结构进行优化。首先,设定单粒子的寻优方向及步长,构建优化数学模型;然后,以结构应力的分散程度为优化目标,通过单粒子寻优完成双参数的最优匹配;最后,进行支架梁的拓扑模拟及现场试验,优化后的支架梁模型更好地实现了应力的分散,现场测试的装备铺层误差在设计允许范围内。此项研究验证了单粒子寻优算法用于结构优化的可行性,并为后续优化工程应用提供了理论支撑。 Aiming at the optimization design of the support beam of wind turbine blade glass fiber fabric laying equipment,a single-particle optimization algorithm for two-parameter was proposed to optimize its structure.Firstly,the optimization direction and step size of the single-particle were set up,and the optimization mathematical model was constructed.With the degree of stress dispersion as the optimization objective,the optimization of two-parameter was achieved by single-particle optimization.Finally,the topological simulation and field test of the support beam was done.It will be seen from the results that the optimized model of support beam can achieve stress dispersion in a better way,and the deviations of the layer are within the allowable range of structural design.This study validates the feasibility of single-particle optimization algorithm for structural optimization and provides theoretical support for subsequent optimization engineering applications.
作者 王侃 李金亮 王景华 张磊安 Wang Kan;Li Jinliang;Wang Jinghua;Zhang Leian(Cnooc(Tianjin)Pipeline Engineering Technology Co.,Ltd.,Tianjin 300452,China;School of Mechanical and Electrical Engineering,Zibo Vocational College,Zibo 255049,China;School of Mechanical Engineering,Shandong University of Technology,Zibo 255049,China)
出处 《可再生能源》 CAS 北大核心 2020年第12期1621-1625,共5页 Renewable Energy Resources
基金 山东省自然科学基金项目(ZR2019MEE076)。
关键词 单粒子寻优 铺层装备 风电叶片 优化算法 结构设计 single-particle optimization laying equipment wind turbine blade optimization algorithm structural design
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