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Multiscale HDG model reduction method for flows in heterogeneous porous media

机译:非均质多孔介质流动的多尺度HDG模型简化方法

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In this research, we give projection-based error analysis on a multiscale hybridizable discontinuous Galerkin method to numerically solve parabolic problem with a heterogeneous coefficient. We modified the spectral multiscale HDG method introduced in [22] to fit to the time-dependent PDE. The method uses multiscale spaces generated by eigenfunctions of local spectral problems. By considering two different grids, one relatively coarser than the other, we give bounds for the error between the actual solution and the approximate one derived from multiscale HDG method. One of the main focuses of the paper is to derive error analysis that depends on the size of fine and coarse grids and eigenvalues of local spectral problems. To solve a given coarse problem, the more eigenfunction we choose, the more accurate the approximation becomes: we shall see that the numerical result indicates that when we fix fine and coarse grids, the error between the reference solution and the derived one decreases whenever we have more multiscale basis functions. (C) 2019 IMACS. Published by Elsevier B.V. All rights reserved.
机译:在这项研究中,我们对多尺度可混合不连续Galerkin方法进行基于投影的误差分析,以数值方式解决具有异类系数的抛物线问题。我们修改了[22]中介绍的频谱多尺度HDG方法,以适应与时间相关的PDE。该方法使用由局部光谱问题的本征函数生成的多尺度空间。通过考虑两个不同的网格(一个相对较粗糙),我们给出了实际解与从多尺度HDG方法得出的近似解之间的误差范围。本文的主要重点之一是进行误差分析,该误差分析取决于细网格和粗网格的大小以及局部光谱问题的特征值。为了解决给定的粗糙问题,我们选择的本征函数越多,则近似值越精确:我们将看到,数值结果表明,当我们固定细网格和粗网格时,只要我们将参考解和导出的网格之间的误差减小,具有更多的多尺度基函数。 (C)2019年IMACS。由Elsevier B.V.发布。保留所有权利。

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