A posteriori error estimates for hierarchical mixed-dimensional elliptic equations

IF 3.8 2区 数学 Q1 MATHEMATICS Journal of Numerical Mathematics Pub Date : 2021-01-20 DOI:10.1515/jnma-2022-0038
Jhabriel Varela, E. Ahmed, E. Keilegavlen, J. Nordbotten, F. Radu
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引用次数: 4

Abstract

Abstract Mixed-dimensional elliptic equations exhibiting a hierarchical structure are commonly used to model problems with high aspect ratio inclusions, such as flow in fractured porous media. We derive general abstract estimates based on the theory of functional a posteriori error estimates, for which guaranteed upper bounds for the primal and dual variables and two-sided bounds for the primal-dual pair are obtained. We improve on the abstract results obtained with the functional approach by proposing four different ways of estimating the residual errors based on the extent the approximate solution has conservation properties, i.e.: (1) no conservation, (2) subdomain conservation, (3) grid-level conservation, and (4) exact conservation. This treatment results in sharper and fully computable estimates when mass is conserved either at the grid level or exactly, with a comparable structure to those obtained from grid-based a posteriori techniques. We demonstrate the practical effectiveness of our theoretical results through numerical experiments using four different discretization methods for synthetic problems and applications based on benchmarks of flow in fractured porous media.
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层次混合维椭圆方程的后验误差估计
具有层次结构的混合维椭圆方程通常用于高纵横比包裹体问题的建模,如裂缝性多孔介质中的流动。基于泛函后验误差估计理论,导出了一般抽象估计,得到了原变量和对偶变量的保证上界和原-对偶对的双边界。我们改进了用泛函方法得到的抽象结果,提出了基于近似解具有守恒性的程度估计残差的四种不同方法,即:(1)不守恒,(2)子域守恒,(3)网格级守恒和(4)精确守恒。当质量在网格水平上或精确地保持时,这种处理导致更清晰和完全可计算的估计,具有与基于网格的后验技术获得的结构相当的结构。基于裂缝性多孔介质流动基准,采用四种不同的离散化方法对综合问题和应用进行了数值实验,验证了理论结果的实际有效性。
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来源期刊
CiteScore
5.90
自引率
3.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: The Journal of Numerical Mathematics (formerly East-West Journal of Numerical Mathematics) contains high-quality papers featuring contemporary research in all areas of Numerical Mathematics. This includes the development, analysis, and implementation of new and innovative methods in Numerical Linear Algebra, Numerical Analysis, Optimal Control/Optimization, and Scientific Computing. The journal will also publish applications-oriented papers with significant mathematical content in computational fluid dynamics and other areas of computational engineering, finance, and life sciences.
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