基于遗传算法的大型风机复合材料叶片根部强度优化设计

为了提高复合材料叶片承担载荷的能力, 尤其是承受最大弯矩的叶片根部的承载能力, 研究了遗传算法的优化原理并将遗传算法应用到复合材料叶片根部铺层的优化设计中。针对复合材料层压结构遗传算法优化设计中, 层压结构参数具有离散型的特点, 提出了适合复合材料层压结构遗传算法优化设计的整数编码策略, 以整数来表征层压结构参数。在分析层压结构强度的基础上, 针对结构强度优化的目标构造了可用于遗传算法的适应度函数。同时参考了一定的铺层规则, 在铺层角度限制为工程中常用的四种角度的前提下, 应用遗传算法对叶片根部进行了铺层优化设计。结果表明, 由于遗传算法特有的处理离散型问题的优势, 在叶片根部的铺层优化设计中应用遗传算法是可行和可信的。

Strength optimization of large wind turbine blade root on the genetic algorithm

For improving the ability of fiber reinforced plastic blades,especially for the maximal bending moment of the blade root,the theory of genetic algorithm(GA) was studied and applied in the optimization of the root laminate of composite blades.In allusion to the separate characteristic of the lamination shell design parameter,the integer code strategy suitable for the GA optimizing design of composite lamination shells was proposed.In analyzing the structural intensity of laminated shells,the fitness function of GA was established to optimize the structure intensity.Referencing a number of layup rules,under the condition of four different directions of the ply angles,the stacking sequence of the blade root was optimized.The result shows that there are many advantages in dealing with disperse problem,and the method is reliable and feasible.