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Application of Genetic Algorithm for the Optimal Lay-up of Plates made of Composite Laminates

机译:遗传算法在复合材料层合板最优叠合中的应用

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Laminated composite structures are finding wide range of applications in many branches of technology. They are much suited for weight sensitive structures (like aircraft) where thinner and lighter members made of advanced fibre reinforced composite materials are used. The orientations of fibre direction in layers and number of layers of composites play a major role in determining the strength and stiffness. Thus the basic design problem is to determine the optimum stacking sequence of the composite laminate. Many methods are available at present for the design optimization of structural systems and these methods assume that the design variables are continuous. In this paper a different search and optimization algorithm, known as Genetic Algorithm (GA) has been successfully applied to obtain optimal fibre orientation of multi-layered composite plates, which considers the angle of fibre orientation as a discrete variable. The GA combines Darwinian principle of survival of the fittest and structural information exchange using randomized operators to evolve an efficient search mechanism avoiding local minimum. The Simple Genetic Algorithm is mainly based on three operators namely Reproduction, Crossover and Mutation. Plates composing of two to nine layers without stiffener, with one stiffener & with two stiffeners for single material as well as different materials were analysed and the maximum frequency for each population is computed using the software FEAST-C.
机译:层压复合结构在许多技术领域中都有广泛的应用。它们非常适用于重量敏感结构(如飞机),在这些结构中,使用由高级纤维增强复合材料制成的更薄和更轻的构件。复合材料的层数和层数中纤维方向的取向在确定强度和刚度方面起主要作用。因此,基本的设计问题是确定复合层压板的最佳堆叠顺序。当前,有许多方法可用于结构系统的设计优化,并且这些方法假定设计变量是连续的。在本文中,已经成功地将另一种称为遗传算法(GA)的搜索和优化算法成功应用于获得多层复合板的最佳纤维方向,该算法将纤维方向的角度视为离散变量。 GA结合了优胜劣汰的达尔文主义原则和结构化信息交换,使用随机算子来发展避免局部极小值的有效搜索机制。简单遗传算法主要基于三个运算符,即复制,交叉和变异。分析了由两层到九层不带加劲肋,一个加劲肋和两个加劲肋的板材构成的单一材料以及不同材料,并使用FEAST-C软件计算了每个填充的最大频率。

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