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Preconditioning for Linear Systems Arising from IgA Discretized Incompressible Navier-Stokes Equations

机译:IGA离散的不可压缩Navier-Stokes方程引起的线性系统的预处理

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We deal with efficient techniques for numerical simulation of the incompressible fluid flow based on the Navier-Stokes equations discretized using the isogeometric analysis approach. Typically, the most time-consuming part of the simulation is solving the large saddle-point type linear systems arising from the discretization. These systems can be efficiently solved by Krylov subspace methods, but the choice of the preconditioner is crucial. In our study we test several preconditioners developed for the incompressible Navier-Stokes equations discretized by a finite element method, which can be found in the literature. We study their efficiency for the linear systems arising from the IgA discretization, where the matrix is usually less sparse compared to those from finite elements. Our aim is to develop a fast solver for a specific problem of flow in a water turbine. It brings several complications like periodic boundary conditions at nonparallel boundaries and computation in a rotating frame of reference. This makes the system matrix even less sparse with a more complicated sparsity pattern.
机译:我们处理基于使用异构分析方法离散化的Navier-Stokes方程的不可压缩流体流量的有效技术。通常,模拟的最耗时的部分是求解从离散化引起的大型鞍点类型线性系统。这些系统可以通过Krylov子空间方法有效地解决,但前提者的选择是至关重要的。在我们的研究中,我们测试了几种由有限元方法离散化的不可压缩的Navier-Stokes方程开发的预处理器,可以在文献中找到。我们研究了从IGA离散化引起的线性系统的效率,其中矩阵通常比来自有限元素相比的稀疏。我们的宗旨是为水轮机流动的特定问题进行快速解决方案。它在旋转参考框架中为非平行边界和计算提供了多种并发症这使得系统矩阵甚至更稀疏,具有更复杂的稀疏模式。

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