Augmented Lagrangian Acceleration of Global-in-Time Pressure Schur Complement Solvers for Incompressible Oseen Equations

IF 1.2 3区 数学 Q2 MATHEMATICS, APPLIED Journal of Mathematical Fluid Mechanics Pub Date : 2024-03-28 DOI:10.1007/s00021-024-00862-7
Christoph Lohmann, Stefan Turek
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Abstract

This work is focused on an accelerated global-in-time solution strategy for the Oseen equations, which highly exploits the augmented Lagrangian methodology to improve the convergence behavior of the Schur complement iteration. The main idea of the solution strategy is to block the individual linear systems of equations at each time step into a single all-at-once saddle point problem. By elimination of all velocity unknowns, the resulting implicitly defined equation can then be solved using a global-in-time pressure Schur complement (PSC) iteration. To accelerate the convergence behavior of this iterative scheme, the augmented Lagrangian approach is exploited by modifying the momentum equation for all time steps in a strongly consistent manner. While the introduced discrete grad-div stabilization does not modify the solution of the discretized Oseen equations, the quality of customized PSC preconditioners drastically improves and, hence, guarantees a rapid convergence. This strategy comes at the cost that the involved auxiliary problem for the velocity field becomes ill conditioned so that standard iterative solution strategies are no longer efficient. Therefore, a highly specialized multigrid solver based on modified intergrid transfer operators and an additive block preconditioner is extended to solution of the all-at-once problem. The potential of the proposed overall solution strategy is discussed in several numerical studies as they occur in commonly used linearization techniques for the incompressible Navier–Stokes equations.

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针对不可压缩奥森方程的全局实时压力舒尔补全求解器的增量拉格朗日加速算法
这项工作的重点是奥森方程的加速全局实时求解策略,它高度利用了增强拉格朗日方法来改善舒尔补数迭代的收敛行为。该求解策略的主要思想是将每个时间步的单个线性方程组阻塞成一个单一的一次性鞍点问题。通过消除所有速度未知数,可以使用全局实时压力舒尔互补(PSC)迭代来求解由此产生的隐式定义方程。为了加速这种迭代方案的收敛行为,利用了增强拉格朗日方法,以强一致性的方式修改了所有时间步长的动量方程。虽然引入的离散梯度二维稳定并不修改离散奥森方程的解,但定制 PSC 预处理器的质量大幅提高,从而保证了快速收敛。这种策略的代价是,速度场的辅助问题变得条件不良,标准迭代求解策略不再有效。因此,基于改进的网格间转移算子和加法块预处理器的高度专业化多网格求解器被扩展到一次求解问题中。我们在几项数值研究中讨论了所提出的整体求解策略的潜力,因为它们出现在不可压缩纳维-斯托克斯方程的常用线性化技术中。
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来源期刊
CiteScore
2.00
自引率
15.40%
发文量
97
审稿时长
>12 weeks
期刊介绍: The Journal of Mathematical Fluid Mechanics (JMFM)is a forum for the publication of high-quality peer-reviewed papers on the mathematical theory of fluid mechanics, with special regards to the Navier-Stokes equations. As an important part of that, the journal encourages papers dealing with mathematical aspects of computational theory, as well as with applications in science and engineering. The journal also publishes in related areas of mathematics that have a direct bearing on the mathematical theory of fluid mechanics. All papers will be characterized by originality and mathematical rigor. For a paper to be accepted, it is not enough that it contains original results. In fact, results should be highly relevant to the mathematical theory of fluid mechanics, and meet a wide readership.
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