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Optimum design of weaving structure of 3-D woven fabric composites by using genetic algorithms

机译：基于遗传算法的3-D机织复合材料织造结构优化设计

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This paper discusses the optimum design method of the weaving structure of three-dimensional (3-D) reinforced composites. We propose the design method which combines the genetic algorithms (GA) and the finite element analysis. GA is one of the optimization techniques for the combinatorial optimization problem. In the finite element analysis, we used the original structure model which can express the fiber arrangement state in the 3-D composites faithfully. In this study, the original weaving structure model is constructed by combining the basic structure which has the fiber bundle and the cubic grid of resin. From analysis results, in the small design region, we can obtain the optimum weaving structure. Moreover, we proposed a new genetic operation, to design the weaving structure at the larger design region. These operations aim to prevent the failure of the partial weaving structure in the analytical model as much as possible. From the analysis results, the optimum weaving structure is obtained at the large design region, similar to above results. Consequently, it seems that the proposed method enables the design of the optimum weaving structure in the 3-D composites.
机译：本文讨论了三维（3-D）增强复合材料编织结构的最佳设计方法。我们提出了结合遗传算法（GA）和有限元分析的设计方法。遗传算法是组合优化问题的一种优化技术。在有限元分析中，我们使用了原始的结构模型，该模型可以忠实地表示3-D复合材料中的纤维排列状态。在这项研究中，原始的编织结构模型是通过结合具有纤维束和树脂立方网格的基本结构而构建的。从分析结果来看，在较小的设计区域内，我们可以获得最佳的编织结构。此外，我们提出了一种新的遗传操作，以在较大的设计区域设计编织结构。这些操作旨在尽可能防止分析模型中的局部编织结构出现故障。根据分析结果，与上述结果相似，在较大的设计区域可以获得最佳的编织结构。因此，似乎所提出的方法使得能够设计3-D复合材料中的最佳编织结构。

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