基于遗传算法的风力机叶片结构铺层厚度优化  

PLY THICKNESS OPTIMIZATION OF WIND TURBINE BLADE BASED ON GENETIC ALGORITHM

作　　者：孙鹏文[1] 侯战华 岳彩宾[1,2] 李建东 安佰伟[1] 

机构地区：[1]内蒙古工业大学机械学院,呼和浩特010051 [2]包头钢铁(集团)有限责任公司轨梁厂,包头014010 [3]内蒙古第一机械集团有限公司第四分公司,包头014030

出　　处：《太阳能学报》2016年第6期1566-1572,共7页Acta Energiae Solaris Sinica

基　　金：国家自然科学基金(51165028);内蒙古自然科学基金(2014MS0514);内蒙古自治区研究生科研创新资助项目(S20141012807);内蒙古"草原英才"工程

摘　　要：从工程角度出发,提出结合有限元法和遗传算法的优化方法,以解决复杂、多变量风力机叶片结构性能最值优化问题。根据复合材料层合板力学特性,推导单层铺层厚度与层合板主应力之间的数学关系,设计改进遗传算法,给出优化流程。以某1.5 MW叶片为对象,最大主应力为优化目标函数,对其进行铺层厚度优化,得到各轴向布在叶片不同部位的优化铺层厚度范围。结果表明:优化后叶片的最大主应力和应变均明显降低,结构性能显著提高,验证了优化方案和方法的正确性和有效性。The optimization method combining finite element analysis and genetic algorithm was put forward from the perspectives of engineering to solve the extreme value optimization problem of complex and multivariable structure performance of wind turbine blade. According to mechanical property of composite laminated plate, the mathematical relation between ply thickness of single layer and principal stress of laminate plate was deduced. The improved genetic algorithm was designed to obtain the optimization flow process. Taking certain 1.5 MW wind turbine blade as the object and the maximum principle stress as optimizing objective function, the ply thickness was optimized to obtain the optimum range of ply thickness for different blade part. The results show that the maximum principal stress and strain of optimized blade are reduced obviously, the structure performance is improved evidently, and the correctness and effectiveness of the optimizing scheme and method are verified.

关 键 词：结构铺层 厚度优化 遗传算法 复合纤维 风力机叶片 

分 类 号：TK83[动力工程及工程热物理—流体机械及工程]