Tetrahedral mesh refinement in distributed environments
Tetrahedral mesh refinement in distributed environments
复制标题
分布式环境中的四面体网格细化
DOI：
10.1109/icppw.2006.72
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Mehmet Balman
中科院分区：
文献类型：
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作者：
Mehmet Balman
自适应网格加密是求解偏微分方程的主要技术之一。由于3维结构更加复杂，因此很少有细化方法，特别是对于并行环境。另一方面，已经提出了许多算法用于二维结构。分析了里瓦拉的最长边二分算法，研究了该问题的并行化技术，提出了一种非均匀四面体网格加密的并行方法。本研究的主要目标是提出一个实际的细化框架，为现实生活中的应用。我们描述了一个可用的数据结构的分布式环境，并提出了一个实用程序，能够分布处理器之间的网格数据，以解决大型网格结构
The adaptive mesh refinement is one of the main techniques used for the solution of partial differential equations. Since 3-dimensional structures are more complex, there are few refinement methods especially for parallel environments. On the other hand, many algorithms have been proposed for 2-dimensional structures. We analyzed the Rivara's longest-edge bisection algorithm, studied parallelization techniques for the problem, and presented a parallel methodology for the refinement of non-uniform tetrahedral meshes. The main goal of this research is to propose a practical refinement framework for real-life applications. We describe a usable data structure for distributed environments and present a utility capable of distributing the mesh data among processors to solve large mesh structures