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MOAA and Topology Judgment for Mesh Construction

机译:网格构建的MOAA和拓扑判断

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In this paper, the Maximum Opposite Angulation Approach (MOAA) for 3-D including the topology optimization is discussed. The MOAA algorithm is developed to generate meshes in 2-D and 3-D. The basic principles of the algorithm both in 2-D applications and in 3-D applications, is to pre-set uniformity to the initial data set to form point pairs yielding possible shortest line segments. These line segments are connected with the points providing the maximum angle for the vertex of the triangular mesh to be constructed. Thus, the algorithm provides triangular meshes having well balanced interior angles and good aspect ratios. The MOAA algorithm can be proved similar to the Delaunay's approach in 2-D from the principle and with the quickest speed. In 3-D, it was also shown that it is much more efficient than many Delaunay class algorithms with mesh architectures preserving the topology, for uniformly organized data points. In this study, the topology optimization together with the MOAA algorithm is presented to improve the precision of reconstruction of the original surface. In this context, topology judgment for intersection problem in 3-D, distortion phenomenon, the possibility of loosing some characteristics of the original surface is thoroughly investigated.
机译:在本文中,讨论了包括拓扑优化在内的用于3-D的最大相对角度法(MOAA)。开发了MOAA算法以生成2-D和3-D网格。该算法在2D应用程序和3D应用程序中的基本原理是,预先设置与初始数据集的一致性,以形成点对,从而产生可能的最短线段。这些线段与为要构造的三角形网格的顶点提供最大角度的点相连。因此,该算法提供了具有良好平衡的内角和良好的长宽比的三角形网格。从原理上和最快的速度上,可以证明MOAA算法类似于Delaunay的二维方法。在3-D中,对于统一组织的数据点,它还显示出比许多具有保留拓扑结构的网格体系结构的Delaunay类算法要有效得多。在这项研究中,拓扑优化与MOAA算法一起被提出来提高原始表面的重建精度。在这种情况下,彻底研究了3D交叉问题,变形现象,失去原始表面某些特性的可能性的拓扑判断。

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