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Anisotropic and dynamic mesh adaptation for discontinuous Galerkin methods applied to reactive transport

机译:各向异性和动态网格自适应应用于不连续Galerkin方法的反应性运输

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Mesh adaptation strategies are proposed for discontinuous Galerkin methods applied to reactive transport problems, with emphasis on dynamic and anisotropic adaptation. They include an anisotropic mesh adaptation scheme and two isotropic methods using an L~2(L~2) norm error estimator and a hierarchic error indicator. These dynamic mesh adaptation approaches are investigated using benchmark cases. Numerical results demonstrate that the three approaches resolve time-dependent transport adequately without slope limiting for both long-term and short-term simulations. It is shown that these results apply to problems where either diffusion or advection dominates in different sub-domains. Moreover, for these schemes, mass conservation is retained locally during dynamic mesh modification. Comparison studies indicate that the anisotropic mesh adaptation provides the most efficient meshes and has the least numerical diffusion among the three adaptation approaches.
机译:提出了针对不连续伽勒金方法的网格自适应策略,该方法应用于反应性运输问题,重点是动态和各向异性自适应。它们包括各向异性网格自适应方案和使用L〜2(L〜2)范数误差估计器和分层误差指示符的两种各向同性方法。使用基准案例研究了这些动态网格自适应方法。数值结果表明,对于长期和短期模拟,这三种方法都能充分解决时间相关的运输问题,而没有坡度限制。结果表明,这些结果适用于在不同子域中扩散或对流占主导地位的问题。此外,对于这些方案,在动态网格修改期间局部保留质量守恒。比较研究表明,各向异性网格自适应在三种自适应方法中提供了最有效的网格,并且数值扩散最少。

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