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Construction of minimization sequences for shape optimization

机译:构造用于形状优化的最小化序列

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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.
机译:在大多数形状优化问题中,最佳解决方案不属于这组真正的形状,而是一种复合结构。均化方法包括放松原始问题,从而将一组可允许的结构延伸到复合形状。从数值观点来看,关于传统几何优化的均质方法的重要资产是计算的最佳形状与初始猜测(至少用于合规最小化问题)非常独立。然而,需要最佳的形状是复合物,以产生几乎最佳的非复合材料(即可行的)形状。经典方法包括惩罚材料的中间密度,但是所获得的结果深深取决于所用的底层网格,细节水平不受控制。在上一项工作中,我们提出了一种新的处理方法,用于弹性结构的顺从最小化问题。主要思想是用局部周期性复合材料近似最佳复合形状,并建立朝向该复合结构的真正形状序列。此方法允许我们平衡最终形状的细节水平及其最优性。然而,根据描述复合材料孔的布置的晶格的拓扑结构,它限于特定的最佳形状。在本文中,我们提升了这一限制,以便将我们的方法扩展到任何最佳复合结构的方法,以获得符合性最小化问题。

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