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Topology optimization of conformal structures on manifolds using extended level set methods (X-LSM) and conformal geometry theory

机译:使用扩展水平集方法(X-LSM)和共形几何理论对流形上的共形结构进行拓扑优化

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In this paper, we propose a new method to systematically address the issue of structural shape and topology optimization on free-form surfaces. A free-form surface, also termed manifold, is conformally mapped onto a 2D rectangle domain where the level set function is defined. With the conformal mapping, the covariant derivatives on the manifold can be represented by the Euclidean gradient operators multiplied by a scalar. Keeping this intrinsic relation in mind, we derive the Euclidean form for the Riemannian Hamilton-Jacobi equation governing the boundary evolution on the manifold, which can be solved on a 2D plane using classical level set methods, such as the upwind finite difference or fast marching method. By reducing the dimension of the problem, the topology optimization problem on the manifold embedded in the 3D space can be recast as a 2D topology optimization problem in the Euclidean space. Compared with other approaches which need project the Euclidean differential operators to the manifold, the proposed method can not only reduce the computational cost but also preserve all the advantages of conventional level set methods. The proposed method reveals the fundamental relation between topology optimization on manifolds and Euclidean planes. It provides a unified level-set-based computational framework for the generative design of conformal structures with increasing applications in different fields of interests. (C) 2018 Elsevier B.Y. All rights reserved.
机译:在本文中,我们提出了一种新方法来系统地解决自由曲面上的结构形状和拓扑优化问题。自由曲面(也称为流形)共形映射到2D矩形域上,其中定义了水平设置功能。使用共形映射,流形上的协变导数可以用欧几里德梯度算子乘以标量来表示。牢记这种内在联系,我们导出了控制歧管边界演化的黎曼哈密顿-雅各比方程的欧几里得形式,这可以使用经典的水平集方法(例如,迎风有限差分或快速行进)在二维平面上求解方法。通过减小问题的范围,可以将嵌入3D空间中的流形上的拓扑优化问题重铸为欧氏空间中的2D拓扑优化问题。与其他需要将欧几里德微分算子投影到流形上的方法相比,该方法不仅可以降低计算量,而且还保留了常规水平集方法的所有优点。所提出的方法揭示了流形上的拓扑优化与欧几里得平面之间的基本关系。它为共形结构的生成设计提供了一个基于水平集的统一计算框架,并在不同领域中得到了越来越多的应用。 (C)2018年Elsevier B.Y.版权所有。

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