Approximate inner solvers for block preconditioning of the incompressible Navier–Stokes problems discretized by isogeometric analysis

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jiří Egermaier, Hana Horníková
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引用次数: 0

Abstract

We deal with efficient numerical solution of the steady incompressible Navier–Stokes equations (NSE) using our in-house solver based on the isogeometric analysis (IgA) approach. We are interested in the solution of the arising saddle-point linear systems using preconditioned Krylov subspace methods. Based on our comparison of ideal versions of several state-of-the-art block preconditioners for linear systems arising from the IgA discretization of the incompressible NSE, suitable candidates have been selected. In the present paper, we focus on selecting efficient approximate solvers for solving subsystems within these preconditioning methods. We investigate the impact on the convergence of the outer solver and aim to identify an effective combination. For this purpose, we compare convergence properties of the selected solution approaches for problems with different viscosity values, mesh refinement levels and discretization bases.

Abstract Image

Abstract Image

用等距分析法对不可压缩纳维-斯托克斯问题进行分块预处理的近似内求解器
我们使用基于等几何分析(IgA)方法的内部求解器处理稳定不可压缩纳维-斯托克斯方程(NSE)的高效数值求解。我们感兴趣的是使用预处理克雷洛夫子空间方法求解所产生的鞍点线性系统。根据我们对不可压缩 NSE 的 IgA 离散化产生的线性系统的几个最先进的块预处理理想版本的比较,我们选择了合适的候选方案。在本文中,我们将重点选择高效的近似求解器,用于求解这些预处理方法中的子系统。我们研究了外求解器收敛性的影响,旨在找出一个有效的组合。为此,我们比较了所选求解方法对不同粘度值、网格细化程度和离散化基础的问题的收敛特性。
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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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