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Optimal shape of fibers in composite structure using Inverse variational principles

机译:复合结构中纤维的最佳形状使用反变分原理

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Inverse variational principles proved their importance in shape optimization of structures. In this paper they are applied to searching for the optimal shape of fibers in a composite structure. As the boundary element method seems to be more promising than other modern numerical methods applied to the search for optimal shape, in the submitting paper the boundary element method is redefined to enable one to use such an approach, which leads to possibility for the optimal interfacial energies and, hence, to the optimal bearing capacity of the composite structure. Necessary discretization of the domain, which occurs in the finite elements, is suppressed in our case. Standard procedure in the finite elements leads to dependence of the stiffness matrix on the shape of the fibers. In this case, following a basic idea for homogenization and localization, concentration factors have to be calculated in terms of the boundary element method instead. These terms are dependent on the shape of the fibers. It appears that the procedure is still not convergent (we solve a strongly nonlinear problem) and additional constraint has to be involved in the formulation. In order to formulate and solve this problem, the idea of Inverse variational principles is applied here for expressing necessary quantities. The paper concentrates on the calculation of quantities, which are necessary to formulate the optimization problem. The main attention is focused on calculation of concentration factors, which play the most important role in the approach proposed.
机译:反变分原理证明了它们在结构的形状优化中的重要性。在本文中,它们用于搜索复合结构中的纤维的最佳形状。由于边界元方法似乎比应用于最佳形状的其他现代数值方法更有前景,因此在提交纸中,边界元方法被重新定义,以使一个能够使用这种方法,这导致最佳界面的可能性能量,因此,到复合结构的最佳承载力。在我们的情况下抑制了在有限元中发生的域的必要离散化。有限元中的标准程序导致刚度矩阵对纤维形状的依赖性。在这种情况下,在均质化和定位的基本思想之后,必须根据边界元方法计算浓缩因子。这些术语取决于纤维的形状。看来程序仍然不会收敛(我们解决强烈的非线性问题),并且必须参与制剂的额外约束。为了制定和解决这个问题,在此处应用逆变分原理的思想以表达必要的数量。纸张专注于计算量的计算,这是制定优化问题的必要条件。主要关注的重点是计算集中因子,这在提出的方法中发挥着最重要的作用。

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