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Generation of curved high-order meshes with optimal quality and geometric accuracy

机译:具有最佳质量和几何精度的弯曲高阶网格的产生

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We present a novel methodology to generate curved high-order meshes featuring optimal mesh quality and geometric accuracy. The proposed technique combines a distortion measure and a geometric L2-disparity measure into a single objective function. While the element distortion term takes into account the mesh quality, the L2-disparity term takes into account the geometric error introduced by the mesh approximation to the target geometry. The proposed technique has several advantages. First, we are not restricted to interpolative meshes and therefore, the resulting mesh approximates the target domain in a non-interpolative way, further increasing the geometric accuracy. Second, we are able to generate a series of meshes that converge to the actual geometry with expected rate while obtaining high-quality elements. Third, we show that the proposed technique is robust enough to handle real-case geometries that contain gaps between adjacent entities.
机译:我们提出了一种新的方法,可以生成具有最佳网格质量和几何精度的弯曲高阶网格。所提出的技术将失真度量和几何L2视差测量结果组合成单个物理函数。虽然元素失真术语考虑到网格质量,但是L2差异术语考虑了网格近似引入的几何误差与目标几何形状。所提出的技术有几个优点。首先,我们不限于内插网格,因此,所得到的网格以非插入方式近似于目标域,进一步增加几何精度。其次,我们能够生成一系列网格,在获得高质量元素的同时,能够在预期速率的实际几何中收敛到实际几何。第三,我们表明所提出的技术足以处理包含在相邻实体之间的空隙的实例几何形状。

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