首页> 外文期刊>ACM transactions on mathematical software >Algorithm 995: An Efficient Parallel Anisotropic Delaunay Mesh Generator for Two-Dimensional Finite Element Analysis
【24h】

Algorithm 995: An Efficient Parallel Anisotropic Delaunay Mesh Generator for Two-Dimensional Finite Element Analysis

机译:算法995:用于二维有限元分析的高效并行各向异性Delaunay网格生成器

获取原文
获取原文并翻译 | 示例

摘要

A bottom-up approach to parallel anisotropic mesh generation is presented by building a mesh generator starting from the basic operations of vertex insertion and Delaunay triangles. Applications focusing on high-lift design or dynamic stall, or numerical methods and modeling test cases, still focus on two-dimensional domains. This automated parallel mesh generation approach can generate high-fidelity unstructured meshes with anisotropic boundary layers for use in the computational fluid dynamics field. The anisotropy requirement adds a level of complexity to a parallel meshing algorithm by making computation depend on the local alignment of elements, which in turn is dictated by geometric boundaries and the density functions- one-dimensional spacing functions generated from an exponential distribution. This approach yields computational savings in mesh generation and flow solution through well-shaped anisotropic triangles instead of isotropic triangles. The validity of the meshes is shown through solution characteristic comparisons to verified reference solutions. A 79% parallel weak scaling efficiency on 1,024 distributed memory nodes, and a 72% parallel efficiency over the fastest sequential isotropic mesh generator on 512 distributed memory nodes, is shown through numerical experiments.
机译:通过从顶点插入和Delaunay三角形的基本操作开始构建网格生成器,提出了一种自下而上的并行各向异性网格生成方法。专注于高扬程设计或动态失速,数值方法和测试案例建模的应用程序仍然专注于二维域。这种自动并行网格生成方法可以生成具有各向异性边界层的高保真非结构化网格,以用于计算流体动力学领域。各向异性要求通过使计算取决于元素的局部对齐,从而增加了并行网格划分算法的复杂度,而元素的局部对齐又由几何边界和由指数分布生成的密度函数(一维间隔函数)决定。通过采用形状良好的各向异性三角形而不是各向同性三角形,该方法可节省网格生成和流动求解的计算量。通过将溶液特性与经过验证的参考溶液进行比较,可以显示网格的有效性。通过数值实验显示,在1,024个分布式存储节点上有79%的并行弱缩放效率,在512个分布式存储节点上有最快的顺序各向同性网格生成器有72%的并行效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号