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Constructing volumetric parameterization based on directed graph simplification of ℓ_1 polycube structure from complex shapes

机译:基于复杂形状的ℓ_1多胶结构的定向图简化构建体积参数化

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Volumetric spline parameterization of complex geometry plays a key role in isogeometric analysis (IGA). In this paper, we propose a general framework to construct volumetric parameterization from complex shapes based on directed graph simplification of the l(1) polycube structure. By minimizing the l(1)-norm of the normals on the input triangular meshes, a polycube structure can be generated with robustness, efficiency, and controllability. Then an algorithm is proposed for l(1) polycube structure simplification with a directed graph, which is an abstract structure generated from the polycube. After simplification, the vertex number of the directed graph will decrease, and the polycube structure will become more simple. From the simplified polycube structure, we construct a segmented surface by spline fitting techniques, and finally we fill each block with a trivariate B-spline volume with C-0-constraints. The proposed method can generate volumetric parameterization without an interior extraordinary vertex, and it has very high potential for constructing volumetric parameterization in IGA simulations. Some volume parameterization examples from complex shapes are presented to show the robustness and efficiency of the proposed method. (C) 2019 Elsevier B.V. All rights reserved.
机译:复杂几何体的体积样条参数化在异诊测定分析(IGA)中起着关键作用。在本文中,我们提出了一种基于L(1)Polycube结构的定向图简化来构造来自复杂形状的体积参数化的一般框架。通过最小化输入三角网格上的正线的L(1),可以以鲁棒性,效率和可控性产生多胶结构。然后提出了一种算法,用于L(1)的Polycub结构简化,其是由Polycube产生的抽象结构。在简化之后,定向图的顶点数将减小,多频结构将变得更加简单。从简化的多胶质结构,我们通过样条拟合技术构造分段表面,最后我们用具有C-0约束的速降B样条体积填充每个块。所提出的方法可以在没有内部非凡顶点的情况下产生体积参数化,并且它具有非常高的是在IGA模拟中构建体积参数化的可能性。提出了来自复杂形状的一些卷参数化示例以显示所提出的方法的稳健性和效率。 (c)2019 Elsevier B.v.保留所有权利。

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