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首页> 外文期刊>Journal of Mechanical Science and Technology >Enhancing buckling performance of perforated composite laminates by manipulating fiber direction using a genetic algorithm
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Enhancing buckling performance of perforated composite laminates by manipulating fiber direction using a genetic algorithm

机译:通过使用遗传算法控制纤维方向来提高多孔复合材料层压板的屈曲性能

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摘要

To maximize buckling loads of composite laminates, optimization is carried out using a Genetic algorithm (GA) in conjunction with finite element analysis. A perforated laminated composite plate is used for buckling analysis. The geometry is discretized into solid threedimensional twenty node isoparametric layered composite elements developed for this study. Fiber orientations of each element and individual plies are controlled independently by the genetic algorithm, which is especially advantageous for complex problems including many design variables. This approach for composite buckling produces more enhanced results than conventional methods, such as changing the stacking sequence of various rectilinear orthotropic plies with different fiber orientations, different ply thicknesses or different local fiber densities. Additionally, it can be used in diverse areas from sensitive local buckling to global stability of structures. The genetic algorithm, finite element analysis and eigen buckling analysis are numerically combined into a composite optimization code, COMBO20. The successful performance of the proposed approach is demonstrated with an example.
机译:为了使复合材料层压板的屈曲载荷最大化,结合遗传算法(GA)和有限元分析进行了优化。多孔层压复合板用于屈曲分析。将该几何离散为针对此研究开发的立体三维二十节点等参分层复合元素。每个元素和单个层的纤维方向都由遗传算法独立控制,这对于包括许多设计变量的复杂问题特别有利。这种用于复合屈曲的方法比常规方法产生了更好的结果,例如,以不同的纤维方向,不同的层厚度或不同的局部纤维密度改变各种正交异性的正交层的堆叠顺序。此外,它可以用于从敏感的局部屈曲到结构整体稳定性的不同领域。遗传算法,有限元分析和本征屈曲分析在数值上组合为复合优化代码COMBO20。举例说明了该方法的成功执行。

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