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

机译:基于树结构的参数化曲面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:这项工作提出了基于树结构的参数化曲面的分层自适应网格生成策略。解析曲率和离散曲率之间测得的误差指导自适应过程。尽管解析曲率是对域进行建模的数学表示,但离散曲率是该曲率的近似值,并且直接取决于所使用的网格配置。所提出的策略具有以下特性:它能够细化和粗化网格区域;确保相邻区域之间的兼容性;它考虑了局部误差措施的影响,以确保良好的整体网格质量,并且由于该过程是在参数空间中执行的,因此它适用于任何类型的参数化曲面几何形状。

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