形状优化最小序列的构造

O. Pantz, K. Trabelsi
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引用次数: 17

摘要

在大多数形状优化问题中,最优解不属于真形状集,而属于复合结构。均质化方法在于将原问题放宽,从而将可容许结构集扩展为复合形状。从数值角度来看,均匀化方法相对于传统几何优化的一个重要优点是计算出的最优形状与初始猜测完全独立(至少对于柔度最小化问题是如此)。然而,最佳形状是复合材料,为了产生几乎最佳的非复合(即可行的)形状,需要后处理。经典的方法包括惩罚材料的中间密度,但所获得的结果严重依赖于所使用的底层网格,并且细节水平是不可控制的。在以前的工作中,我们提出了一种新的弹性结构柔度最小化问题的后处理方法。主要思想是用局部周期复合材料近似最佳复合材料形状,并建立一个向该复合结构收敛的真实形状序列。这种方法使我们能够平衡最终形状的细节水平及其最优性。然而,它仅限于特定的最佳形状,这取决于描述复合材料孔排列的晶格的拓扑结构。在本文中,我们取消了这一限制,以便将我们的方法扩展到任何最优的顺应性最小化问题的组合结构。
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Construction of minimization sequences for shape optimization
In most shape optimization problems, the optimal solution does not belong to the set of genuine shapes but is a composite structure. The homogenization method consists in relaxing the original problem thereby extending the set of admissible structures to composite shapes. From the numerical viewpoint, an important asset of the homogenization method with respect to traditional geometrical optimization is that the computed optimal shape is quite independent from the initial guess (at least for the compliance minimization problem). Nevertheless, the optimal shape being a composite, a post-treatement is needed in order to produce an almost optimal non-composite (i.e. workable) shape. The classical approach consists in penalizing the intermediate densities of material, but the obtained result deeply depends on the underlying mesh used and the level of details is not controllable. In a previous work, we proposed a new post-treatement method for the compliance minimization problem of an elastic structure. The main idea is to approximate the optimal composite shape with a locally periodic composite and to build a sequence of genuine shapes converging toward this composite structure. This method allows us to balance the level of details of the final shape and its optimality. Nevertheless, it was restricted to particular optimal shapes, depending on the topological structure of the lattice describing the arrangement of the holes of the composite. In this article, we lift this restriction in order to extend our method to any optimal composite structure for the compliance minimization problem.
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