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Efficient cloud refinement for kinetic meshless methods

机译:动力学无网格方法的有效云优化

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In the present work efficient cloud refinement to carry out adaptation in meshless framework is proposed. Locally refining point density in meshless adaptation modifies the connectivity of points in this region. Previously [1] the initial connectivity was ignored and quadtree based algorithms [2] generated new connectivity for every node from scratch. This is particularly inefficient and an efficient connectivity update must exploit the fact that the node distribution would be largely unaffected except in the region of adaptation. Hence connectivity modification and generation needs to be done locally, only in these regions. We present a fast, efficient algorithm which uses the existing connectivity from the initial cloud to modify or generate the connectivity over the refined cloud.
机译:在当前工作中,提出了有效的云细化以在无网格框架中进行自适应。在无网格自适应中局部细化点密度会修改该区域中点的连通性。以前[1],初始连接被忽略,基于四叉树的算法[2]从头开始为每个节点生成新的连接。这是特别低效的,并且有效的连接更新必须利用以下事实:除了在适配区域之外,节点分布将基本上不受影响。因此,仅在这些区域中需要在本地完成连接的修改和生成。我们提出了一种快速,高效的算法,该算法使用来自初始云的现有连接来修改或生成经过精炼的云的连接。

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