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A Hierarchical Adaptive Mesh Generation Strategy for Parametric Surfaces Based on Tree Structures

机译:基于树结构的参数曲面的分层自适应网格生成策略

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This work presents a hierarchical adaptive mesh generation strategy for parametric surfaces based on tree structures. The error measured between the analytical and discrete curvatures guides the adaptive process. While the analytical curvature is an mathematical representation that models the domain, the discrete curvature is an approximation of that curvature and depends directly on the used mesh configuration. The presented strategy possess the following properties: it is able to refine and coarsen regions of the mesh; it ensures compatibility between neighbouring regions; it considers the contribution of the local error measures to ensure good global mesh quality and it works with any type of parametric surface geometry, since the process is performed in the parametric space.
机译:该工作提出了基于树结构的参数曲面的分层自适应网格生成策略。在分析和离散曲线之间测量的误差引导自适应过程。虽然分析曲率是模型域的数学表示,但是离散曲率是该曲率的近似值,并且直接取决于所用的网格配置。呈现的策略具有以下性质:它能够改进和驯化网格的区域;它确保了邻近地区之间的兼容性;它考虑了本地错误措施的贡献,以确保良好的全局网格质量,并且它适用于任何类型的参数表面几何形状,因为该过程在参数空间中执行。

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