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大型风力机叶片气动与结构耦合优化设计研究 被引量:9

RESEARCH OF AERODYNAMIC AND STRUCTURAL COUPLING OPTIMIZATION DESIGN FOR BLADE OF LARGE-SCALE WIND TURBINE
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摘要 针对大型风力机风轮气弹效应对叶片结构的影响作用,对叶片结构优化设计的理论模型建模方法进行研究。采用叶素动量理论和梁理论,并结合遗传算法,将叶片各截面弦长、扭角和铺层厚度3个形状参数作为优化设计的变量,提出一种以叶片最小重量作为结构优化设计目标的理论模型。以1.2 MW风力机叶片为例,对优化前后叶片的3个形状参数与风力机功率特性间关系进行的计算分析表明,考虑叶片气弹变形的影响作用不仅能提高风轮的风能利用系数,且能减小叶片的截面质量线密度,进而降低叶片的制造成本。 Aiming at the influence of aeroelastic effect of wind wheel of large scale wind turbine on blade structure, the modeling method of blade structure optimum design was studied. Using the blade element momentum (BEM) theory and beam theory, combining with the genetic algorithm and setting three shape parameters, such as chord length, twist angle and ply thickness of every blade cross- section as variables of optimization design, the theoretical model which took the blade minimum mass as the objective of structure optimization design was proposed. A 1.2 MW wind turbine blade was chosen as an example to calculate and analyze the relation between three shape parameters of blade before and after optimization and power characteristics of wind turbine. The results showed that considering aeroelastic effect of the blade can not only improve the utilization rate of wind energy but also reduce the mass line density of blade cross-section, thereby reduce the manufacturing cost of blade.
出处 《太阳能学报》 EI CAS CSCD 北大核心 2015年第8期1812-1817,共6页 Acta Energiae Solaris Sinica
基金 国家自然科学基金(51165019 50875118) 甘肃省自然科学基金(1308RJYA018) 兰州市科技局计划项目(2013-4-110) 甘肃省自然基金(1112RJZA003)
关键词 风力机叶片 气弹效应 遗传算法 优化设计 wind turbine blade aeroelastic effect genetic algorithm optimization design
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参考文献12

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