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风力机叶片结构拓扑与铺层分级优化设计研究

汪泉 夏威 杨建忠 徐唐杰 王冯云

复合材料科学与工程Issue(11):69-75,99,8.
复合材料科学与工程Issue(11):69-75,99,8.DOI:10.19936/j.cnki.2096-8000.20241128.009

风力机叶片结构拓扑与铺层分级优化设计研究

Study on hierarchical optimized design of structural topology and layer for the wind turbine blade

汪泉 1夏威 1杨建忠 2徐唐杰 1王冯云1

作者信息

  • 1. 湖北工业大学 机械工程学院,武汉 430068
  • 2. 渤海装备辽河热采机械公司,盘锦 124010
  • 折叠

摘要

Abstract

In response to the current issue of the independent design of the topology structure and internal layer parameters of large-scale wind turbine blades,which hinders the maximum reduction of blade weight,this paper proposes a hierarchical optimization strategy for the design of wind turbine blade structure topology and layer param-eters.Taking a 5 MW wind turbine blade as the optimization target and considering 7 extreme load cases,the blade's topology structure is optimized based on the density method.The results of the first-level optimization show that the blade possesses characteristics such as asymmetric main beams and offset webs.Subsequently,treating the topology structure parameters and material layer parameters as second-level optimization variables,with the minimization of blade weight as the optimization objective and the Tsai-Wu's failure factor,blade tip displacement,and natural fre-quency as constraints,a particle swarm algorithm is employed to jointly optimize the blade's topology structure and layer parameters.The results indicate that,compared to the reference blade and while satisfying the blade's structural strength and deformation requirements,the blade weight is reduced by 12.1%and the blade tip displacement is re-duced by 9.5%.This study holds significant reference value for the lightweight design of wind turbine blades.

关键词

风力机叶片/拓扑结构/分级优化/极限载荷/铺层参数/复合材料

Key words

wind turbine blades/topology structure/hierarchical optimization/extreme load/layer parame-ters/composites

分类

通用工业技术

引用本文复制引用

汪泉,夏威,杨建忠,徐唐杰,王冯云..风力机叶片结构拓扑与铺层分级优化设计研究[J].复合材料科学与工程,2024,(11):69-75,99,8.

基金项目

国家自然科学基金面上项目(51975190) (51975190)

校级绿色工业科技引领计划-优秀青年基金(XJ2021001201) (XJ2021001201)

复合材料科学与工程

OA北大核心

2096-8000

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