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Prediction of structures and mechanical properties of composites using a genetic algorithm and finite element method

机译:用遗传算法和有限元方法预测复合材料的结构和力学性能

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A combined method of a genetic algorithm and finite element stress analysis has been developed to design the structure of materials. The genetic algorithm is applied to searching structures that have a desired property by combining it with the finite element analysis, which is used to predict the elastic modulus and Poisson's ratio. The calculation of the stress analysis is validated from the comparison with the theory on parallel, series, and random structures. The combined method was applied to two searches of structures. One was to find structures that have a desired elastic modulus, respectively. The calculation successfully found a proper structure for each desired elastic modulus. The other was the search of the structure that shows a negative Poisson's ratio. A structure having the negative Poisson's ratio was generated by the calculation. Although this original structure would appear to have no features, it gave us a good idea for the design of materials by investigating the stress distribution in the original structure. A new structure that consists of a unique and continuous pattern of the higher elastic component was designed from the calculation. The reason for the negative Poisson's ratio is explained by mechanical linkage. (C) 2001 Kluwer Academic Publishers. [References: 14]
机译:已经开发了一种遗传算法和有限元应力分析相结合的方法来设计材料的结构。遗传算法通过与有限元分析相结合,用于搜索具有所需特性的结构,该结构用于预测弹性模量和泊松比。通过与平行,串联和随机结构理论的比较,验证了应力分析的计算结果。组合的方法应用于结构的两次搜索。一种是分别找到具有所需弹性模量的结构。计算成功找到了每个所需弹性模量的合适结构。另一个是搜索显示负泊松比的结构。通过计算生成具有负泊松比的结构。尽管这种原始结构似乎没有任何特征,但通过研究原始结构中的应力分布,它为我们提供了一种材料设计的好主意。通过计算,设计出了一种新结构,该结构由一个独特且连续的较高弹性组件组成。泊松比为负的原因可以通过机械联动来解释。 (C)2001 Kluwer学术出版社。 [参考:14]

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