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arXiv 1607.05035math.NAcs.NA
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基于样条空间稳定分解的鲁棒多重网格方法用于等几何分析

Robust Multigrid for Isogeometric Analysis Based on Stable Splittings of Spline Spaces

Johannes Kepler University Linz(林茨约翰·开普勒大学);Austrian Academy of Sciences(奥地利科学院)

Clemens Hofreither, Stefan Takacs

AI总结:

本文提出一种基于样条空间稳定分解的鲁棒多重网格方法,用于单块等几何离散化,利用张量积B-样条的最大光滑性。方法通过将样条空间分解为满足稳健逆不等式的大型内部样条子空间和捕捉边界效应的较小子空间,有效处理谱异常问题。

摘要:

我们提出了一种基于样条空间稳定分解的鲁棒且高效的多重网格方法,用于单块等几何离散化,使用张量积B-样条的最大光滑性。我们的方法基于将样条空间分解为一个大型内部样条子空间,该子空间满足稳健逆不等式,以及一个或多个较小的子空间,这些子空间捕捉导致等几何分析中谱异常的边界效应。然后,我们基于加性子空间校正方法构建多重网格平滑器,对每个子空间应用不同的平滑器。对于内部样条,我们使用质量平滑器,而其余部分则用合适选择的克罗内克积平滑器或直接求解器处理。我们证明所得到的多重网格方法在样条阶数和网格尺寸方面具有稳健的迭代次数。此外,它能够高效地用于任意高几何维度的问题离散化。一些数值实验展示了理论结果,并表明迭代次数也相对温和地随问题维度变化。

英文摘要:

We present a robust and efficient multigrid method for single-patch isogeometric discretizations using tensor product B-splines of maximum smoothness. Our method is based on a stable splitting of the spline space into a large subspace of interior splines which satisfy a robust inverse inequality, as well as one or several smaller subspaces which capture the boundary effects responsible for the spectral outliers which occur in Isogeometric Analysis. We then construct a multigrid smoother based on an additive subspace correction approach, applying a different smoother to each of the subspaces. For the interior splines, we use a mass smoother, whereas the remaining components are treated with suitably chosen Kronecker product smoothers or direct solvers. We prove that the resulting multigrid method exhibits iteration numbers which are robust with respect to the spline degree and the mesh size. Furthermore, it can be efficiently realized for discretizations of problems in arbitrarily high geometric dimension. Some numerical examples illustrate the theoretical results and show that the iteration numbers also scale relatively mildly with the problem dimension.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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