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Preconditioning of Linear Systems Arising in Finite Element Discretizations of the Brinkman Equation

机译:Brinkman方程的有限元离散化引起的线性系统的预处理

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In this work we present a preconditioner for the pressure Schur complement of the linear system, resulting from finite element discretizations of the Stokes-Brinkman equation. The work is motivated by the need to solve numerically the Stokes-Brinkman system. The particular focus are two specific applications: industrial filtration problems and vuggy subsurface flows. The first problem features complex filtering media, coupled to a free flow (Stokes) domain. In vuggy subsurface flows one has free flow inclusions of various connectivity, embedded in highly heterogeneous diffusive media. The Birnkman equation provides a new modeling path to both problems, which warrants the search for efficient methods of solving the resulting linear systems. We consider a block-preconditioning approach for the pressure Schur complement. The starting point is an Incomplete Cholesky factorization of the velocity block. Based on it, an approximate pressure Schur complement is constructed and applied using Preconditioned Conjugate Gradient (PCG). The key in this scheme is an efficient preconditioning of this approximate Schur complement. This is achieved by introducing a second approximation of the pressure Schur complement based on an incomplete back-substitution scheme, followed by a second IC factorization. Numerical examples, illustrating the efficiency of this approach are also presented.
机译:在这项工作中,我们提出了线性系统的压力Schur补码的前提条件,该条件源于Stokes-Brinkman方程的有限元离散化。这项工作的动机是需要对Stokes-Brinkman系统进行数值求解。特别关注的是两个特定的应用程序:工业过滤问题和地下地下流动。第一个问题是复杂的过滤介质,并耦合到自由流(Stokes)域。在蓬松的地下流中,人们将具有各种连通性的自由流包裹体嵌入到高度异质的扩散介质中。 Birnkman方程为这两个问题提供了新的建模路径,这保证了寻找解决所得线性系统的有效方法的必要。我们考虑针对压力Schur补码的块预处理方法。起点是速度块的不完全Cholesky分解。在此基础上,使用预处理共轭梯度(PCG)构建和应用近似压力Schur补体。该方案的关键是对该近似Schur补码进行有效的预处理。这是通过基于不完整的反置换方案引入压力Schur补码的第二次近似值,然后进行第二次IC因式分解来实现的。数值示例也说明了这种方法的效率。

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