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Physical experimental static testing and structural design optimisation for a composite wind turbine blade

机译:复合材料风力涡轮机叶片的物理实验静态测试和结构设计优化

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摘要

This study presents experimental testing on a 13 m long glass-fibre epoxy composite wind turbine blade. The results of the test were used to calibrate finite element models. A design optimisation study was then performed using a genetic algorithm. The goal of the optimisation was to minimise the material used in blade construction and, thereby, reduce the manufacturing costs. The thickness distribution of the composite materials and the internal structural layout of the blade were considered for optimisation. Constraints were placed on the objective based on the stiffness of the blade and the blade surface stresses. A variable penalty function was used with limits derived from the blade test and the structural layout of the turbine. The model shows good correspondence to the test results (blade mass within 6% and deflection within 9%) and the differences between test and model are discussed in detail. The genetic algorithm resulted in five optimal blade designs, showing a reduction in mass up to 24%. Structural modelling in combination with numerical search algorithms provide a powerful tool for designers and demonstrates that the reader can have confidence in the claimed potential savings when the reference blade models are calibrated against physical test data. (C) 2016 Elsevier Ltd. All rights reserved.
机译:这项研究提出了对13 m长的玻璃纤维环氧复合材料风力涡轮机叶片的实验测试。测试结果用于校准有限元模型。然后使用遗传算法进行设计优化研究。优化的目的是最大程度地减少叶片构造中使用的材料,从而降低制造成本。考虑优化复合材料的厚度分布和叶片的内部结构布局。根据叶片的刚度和叶片表面应力对物镜施加约束。使用可变惩罚函数,其极限值来自叶片测试和涡轮机的结构布局。该模型与测试结果显示出良好的对应关系(叶片质量在6%以内,挠度在9%以内),并详细讨论了测试与模型之间的差异。遗传算法导致了五种最佳叶片设计,显示质量降低了24%。结构建模与数值搜索算法的结合为设计人员提供了强大的工具,并证明了读者根据物理测试数据对参考叶片模型进行校准后,可以对声称的节能潜力充满信心。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Composite Structures》 |2017年第3期|90-103|共14页
  • 作者单位

    Natl Univ Ireland, Civil Engn, Galway, Ireland|Ctr Marine & Renewable Energy Ireland MaREI, Galway, Ireland|Ryan Inst Environm Marine & Energy Res, Galway, Ireland;

    Natl Univ Ireland, Civil Engn, Galway, Ireland|Ctr Marine & Renewable Energy Ireland MaREI, Galway, Ireland|Ryan Inst Environm Marine & Energy Res, Galway, Ireland|EireComposites Teo, Udaras Ind Estate An Choill Rua, Galway, Ireland;

    Natl Univ Ireland, Mech Engn, Galway, Ireland|Ctr Marine & Renewable Energy Ireland MaREI, Galway, Ireland|Ryan Inst Environm Marine & Energy Res, Galway, Ireland;

    EireComposites Teo, Udaras Ind Estate An Choill Rua, Galway, Ireland;

    EireComposites Teo, Udaras Ind Estate An Choill Rua, Galway, Ireland;

    Natl Univ Ireland, Civil Engn, Galway, Ireland|Ctr Marine & Renewable Energy Ireland MaREI, Galway, Ireland|Ryan Inst Environm Marine & Energy Res, Galway, Ireland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Optimisation; Genetic algorithm; FRP composites; Puck criterion; Structural testing; Wind turbine;

    机译:优化;遗传算法;FRP复合材料;压弯准则;结构测试;风力涡轮机;

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