A Geometric Multigrid Method for Space-Time Finite Element Discretizations of the Navier–Stokes Equations and its Application to 3D Flow Simulation

IF 2.7 1区 数学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING ACM Transactions on Mathematical Software Pub Date : 2023-03-21 DOI:https://dl.acm.org/doi/10.1145/3582492
Mathias Anselmann, Markus Bause
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Abstract

We present a parallelized geometric multigrid (GMG) method, based on the cell-based Vanka smoother, for higher order space-time finite element methods (STFEM) to the incompressible Navier–Stokes equations. The STFEM is implemented as a time marching scheme. The GMG solver is applied as a preconditioner for generalized minimal residual iterations. Its performance properties are demonstrated for 2D and 3D benchmarks of flow around a cylinder. The key ingredients of the GMG approach are the construction of the local Vanka smoother over all degrees of freedom in time of the respective subinterval and its efficient application. For this, data structures that store pre-computed cell inverses of the Jacobian for all hierarchical levels and require only a reasonable amount of memory overhead are generated. The GMG method is built for the deal.II finite element library. The concepts are flexible and can be transferred to similar software platforms.

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Navier-Stokes方程时空有限元离散的几何多重网格方法及其在三维流动模拟中的应用
针对不可压缩Navier-Stokes方程的高阶时空有限元方法,提出了一种基于Vanka平滑的并行几何多网格(GMG)方法。STFEM是一种时间推进方案。将GMG求解器作为广义最小残差迭代的预条件。它的性能性能证明了二维和三维基准的流动围绕一个圆柱体。GMG方法的关键是在各个子区间的所有自由度上构建局部Vanka平滑及其有效应用。为此,生成的数据结构存储所有层次级别的预先计算的雅可比矩阵的单元逆,并且只需要合理数量的内存开销。GMG方法是为该交易构建的。II有限元库。这些概念是灵活的,可以转移到类似的软件平台。
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来源期刊
ACM Transactions on Mathematical Software
ACM Transactions on Mathematical Software 工程技术-计算机:软件工程
CiteScore
5.00
自引率
3.70%
发文量
50
审稿时长
>12 weeks
期刊介绍: As a scientific journal, ACM Transactions on Mathematical Software (TOMS) documents the theoretical underpinnings of numeric, symbolic, algebraic, and geometric computing applications. It focuses on analysis and construction of algorithms and programs, and the interaction of programs and architecture. Algorithms documented in TOMS are available as the Collected Algorithms of the ACM at calgo.acm.org.
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