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Geometry-based Adaptive Mesh Generation for Continuous and Discrete Parametric Surfaces

机译:连续和离散参数曲面的基于几何的自适应网格生成

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摘要

Proximity features between parametric surface boundaries are captured based on the Constrained Delaunay Triangulation (CDT) of sampled surface boundaries. Coupled with curvature computation, a geometry-based mesh size field is automatically constructed along surface boundaries, serving the meshing procedure of boundary curves. Reusing the CDT as a background mesh, the size field along boundaries is extended to specify the mesh sizes in surface interiors, serving an advancing front meshing procedure employed in its parametric space. Furthermore, the proposed approach is applied for both composite continuous surfaces and Stereolithography (STL) surfaces. In the latter application, a sequence of procedures is suggested to aid in parameterizing the STL surface, i.e., feature identification, sub-domain formation and parameterization, and estimations of a surface intrinsic Riemannian metric and surface curvature. Finally, well graded and shaped mesh examples for both types of surface models are presented, which demonstrate that the approach satisfies the requirements of finite element analysis.
机译:基于采样表面边界的约束Delaunay三角剖分(CDT),捕获参数化表面边界之间的邻近特征。结合曲率计算,沿着曲面边界自动构建基于几何的网格大小字段,以服务边界曲线的网格化过程。将CDT再次用作背景网格,沿边界的大小字段被扩展以指定曲面内部的网格大小,从而为在其参数空间中采用的先进的前网格化程序服务。此外,提出的方法适用于复合连续表面和立体光刻(STL)表面。在后一申请中,提出了一系列程序以帮助对STL表面进行参数化,即特征识别,子域形成和参数化,以及表面固有黎曼度量和表面曲率的估计。最后,给出了两种类型的表面模型的良好分级和成形网格示例,表明该方法满足了有限元分析的要求。

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