摘要
针对某850 kW风力机叶片,改变其铺层材料,对其重新进行铺层设计。以材料厚度、腹板位置、主梁宽度等作为设计变量,将叶片质量最小作为目标函数,建立了叶片优化的数学模型。采用MATLAB和ANSYS建立了复合材料参数化叶片模型,通过改进的粒子群算法实现其优化过程。结合德国GL标准,基于动量-叶素理论的BLADED软件计算得到了各截面的极限载荷,并分段施加载荷增量,以更真实地描述叶片受力状态。经分析发现,相比最初的叶片,在保证叶片强度和叶尖位移约束的前提下,叶片质量减轻12.58%。
In view of the 850 kW wind turbine blade, the materials of the layer were changed and the layout was re-designed. Using the thickness of the materials, the location of the webs and the width of the girders as the design variables, the minimum blade mass as the objective function, the optimized mathematical model of the blade was found. The composite material parametric blade model was built by MATLAB and ANSYS, and the optimized process was realized by the modified particle swarm optimization （ PSO） . The ultimate load of every section was solved by BLADED which is based on the blade element momentum theory. The increasing load was applied to every part of the blade and the strained condition of the blade could be described more realistically. The results showed that the blade mass decreased by 12.58%based on the keeping the intensity of the blade and the distance of the tip than the initial blade.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2014年第7期895-900,共6页
Journal of Harbin Engineering University
基金
国家863计划资助项目(2012AA051301)
国家自然科学基金资助项目(51175526)
关键词
风力机叶片
铺层设计
结构优化
参数化
ANSYS
粒子群算法
wind turbine blade
layer design
structural optimization
parameterization
ANSYS
particle swarmoptimization （PSO）
