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MASS CONSERVATIVE DOMAIN DECOMPOSITION PRECONDITIONERS FOR MULTISCALE FINITE VOLUME METHOD

机译:多尺度有限体积法的质量守恒域分解前置因子

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摘要

In this paper, we propose some new coarse correction matrices to design domain decomposition (DD) preconditioners for solving a multiscale finite volume algebraic system. The key ingredients of our coarse correction matrices are based on several operators: prolongation, restriction, and correction operators. Using the coarse correction matrices, together with a one-level additive Schwarz method as a local solver, we may get several efficient preconditioners for the fine-scale finite volume linear system. Techniques used in some well-known multiscale methods are important and inspire us to combine them to generate different kinds of operators. It is shown that our new coarse correction matrices are more robust than well-known ones in the literature. In addition, mass conservation on a primal coarse grid is preserved by a postprocessing procedure, so a conservative fine velocity field may be reconstructed in any interesting local domain. A variety of numerical examples are presented to confirm the validity and robustness of our coarse correction matrices.
机译:在本文中,我们提出了一些新的粗校正矩阵来设计域分解(DD)预处理器,以解决多尺度有限体积代数系统。我们的粗略校正矩阵的关键要素基于多个运算符:延长,限制和校正运算符。使用粗校正矩阵,再结合一级加法Schwarz方法作为局部求解器,我们可以为精细尺度有限体积线性系统获得几个有效的预处理器。一些众所周知的多尺度方法中使用的技术很重要,并启发我们将它们结合起来以生成不同种类的算子。结果表明,我们新的粗校正矩阵比文献中的已知矩阵更健壮。另外,原始粗网格上的质量守恒通过后处理过程得以保留,因此可以在任何有趣的局部域中重建保守的精细速度场。给出了许多数值示例,以证实我们的粗校正矩阵的有效性和鲁棒性。

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