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An Anisoptropic Surface Remeshing Strategy Combining Higher Dimensional Embedding with Radial Basis Functions

机译:径向基函数结合较高尺寸嵌入的侧面覆盖策略

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Many applications heavily rely on piecewise triangular meshes to describe complex surface geometries. High-quality meshes significantly improve numerical simulations. In practice, however, one often has to deal with several challenges. Some regions in the initial mesh may be overrefined, others too coarse. Additionally, the triangles may be too thin or not properly oriented. We present a novel mesh adaptation procedure which greatly improves the problematic input mesh and overcomes all of these drawbacks. By coupling surface reconstruction via radial basis functions with the higher dimensional embedding surface remeshing technique, we can automatically generate anisotropic meshes. Moreover, we are not only able to fill or coarsen certain mesh regions but also align the triangles according to the curvature of the reconstructed surface. This yields an acceptable trade-off between computational complexity and accuracy.
机译:许多应用依赖于分段三角网格来描述复杂的表面几何形状。高质量网格显着提高数值模拟。然而,在实践中,人们通常必须处理几个挑战。初始网格中的一些区域可能被过度统一,其他地区太粗糙。另外,三角形可能太薄或未正确定向。我们提出了一种新的网格适应程序,它大大改善了有问题的输入网格并克服了所有这些缺点。通过通过径向基函数与较高尺寸的嵌入表面倒闭技术耦合表面重建,我们可以自动产生各向异性网格。此外,我们不仅能够填充或驯服某些网状区域,还可以根据重建表面的曲率对齐三角形。这在计算复杂性和准确性之间产生了可接受的权衡。

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