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arXiv 2202.13044math.NAcs.NA
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基于LOD技术的多尺度组合有限元法求解多尺度奇异椭圆问题

A combined multiscale finite element method based on the LOD technique for the multiscale elliptic problems with singularities

Kuokuo Zhang, Weibing Deng, Haijun Wu

摘要:

本文利用局部正交分解(LOD)技术构造了一种组合多尺度有限元法(MsFEM),用于求解计算域中某些特殊区域可能存在奇异性的多尺度问题。例如,在模拟采出井驱动的高度非均质多孔介质中的稳定渗流时,奇点就位于井附近区域。该方法的基本思想是在问题区域的细网格上直接采用传统的有限元法,在问题区域的粗网格上采用基于LOD的MsFEM。其关键是如何在粗、细网格交界面附近为单元的基函数定义局部修正因子,这需要进行细致的处理。该方法综合了传统有限元法和基于LOD的MsFEM法的优点,与标准有限元法相比,该方法使用的自由度少得多,对奇异性问题的计算精度可能高于基于LOD的MsFEM法。误差分析是针对高度变化的系数进行的,而没有对尺度分离或周期性进行任何假设。通过对周期性和随机高振荡系数的数值算例,以及L型区域上的多尺度问题,高对比度通道和奇点的多尺度问题的数值计算,验证了该方法的有效性和准确性.

英文摘要:

In this paper, we construct a combined multiscale finite element method (MsFEM) using the Local Orthogonal Decomposition (LOD) technique to solve the multiscale problems which may have singularities in some special portions of the computational domain. For example, in the simulation of steady flow transporting through highly heterogeneous porous media driven by extraction wells, the singularities lie in the near-well regions. The basic idea of the combined method is to utilize the traditional finite element method (FEM) directly on a fine mesh of the problematic part of the domain and using the LOD-based MsFEM on a coarse mesh of the other part. The key point is how to define local correctors for the basis functions of the elements near the coarse and fine mesh interface, which require meticulous treatment. The proposed method takes advantages of the traditional FEM and the LOD-based MsFEM, which uses much less DOFs than the standard FEM and may be more accurate than the LOD-based MsFEM for problems with singularities. The error analysis is carried out for highly varying coefficients, without any assumptions on scale separation or periodicity. {Numerical examples with periodic and random highly oscillating coefficients}, as well as the multiscale problems on the L-shaped domain, and multiscale problems with high-contrast channels or well-singularities are presented to demonstrate the efficiency and accuracy of the proposed method.

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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