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Optimum design of composites.

机译:复合材料的优化设计。

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The thesis describes advanced design techniques for composites associated with stress concentrations, buckling and dynamic behaviors. Due to a common presence of geometric discontinuities such as holes and notches and diverse operating environments, the research focuses on optimizing the design of perforated composites to reduce stress concentrations, increase buckling resistance and enhance their dynamic performance when operating in hygrothermal environments. Total Lagrangian nonlinear static, buckling and hygrothermal dynamic FEA formulation procedures for both 3D solid and laminated composite shell elements are newly established and their accuracies verified. Optimum design is achieved here primarily by synergizing finite element analysis (FEA) with a probabilistic evolutionary genetic algorithm (GA). This approach is well suited for enhancing the response of orthotropic and/or laminated composites which involve many design variables.; Recognizing ability of the stiffness in the neighborhood of geometric discontinuities to influence composite performance, fiber directions within both individual finite elements and individual plies are optimized locally utilizing an integrated GA-FEA parallel numerical system. Results demonstrates the current approach is superior to more conventional design techniques such as modifying ply thickness or the stacking sequence of individual rectilinear plies.
机译:本文介绍了与应力集中,屈曲和动态行为相关的复合材料的先进设计技术。由于常见的几何不连续性(例如孔和凹口)以及不同的工作环境,因此研究重点在于优化多孔复合材料的设计,以降低应力集中,增加抗屈曲性并在湿热环境中工作时增强其动态性能。新建立了针对3D固体和层合复合壳单元的总拉格朗日非线性静,屈曲和湿热动力学有限元分析程序,并验证了其准确性。在这里,最佳设计主要是通过将有限元分析(FEA)与概率进化遗传算法(GA)协同进行来实现的。该方法非常适合于增强涉及许多设计变量的正交各向异性和/或层压复合材料的响应。利用集成的GA-FEA并行数值系统,局部优化了几何不连续性附近的刚度影响复合材料性能的能力,单个有限元和单个帘布层中的纤维方向都进行了优化。结果表明,当前的方法优于更常规的设计技术,例如修改层厚度或单个直线层的堆叠顺序。

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