A new optimal error analysis of a mixed finite element method for advection–diffusion–reaction Brinkman flow

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Huadong Gao, Wen Xie
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引用次数: 0

Abstract

This article deals with the error analysis of a Galerkin‐mixed finite element methods for the advection–reaction–diffusion Brinkman flow in porous media. Numerical methods for incompressible miscible flow in porous media have been studied extensively in the last several decades. In practical applications, the lowest‐order Galerkin‐mixed method is the most popular one, where the linear Lagrange element is used for the concentration and the lowest‐order Raviart–Thomas element, the lowest‐order Nédélec edge element and piece‐wise constant discontinuous Galerkin element are used for the velocity, vorticity and pressure, respectively. The existing error estimate of this lowest‐order finite element method is only for all variables in spatial direction, which is not optimal for the concentration variable. This paper focuses on a new and optimal error estimate of a linearized backward Euler Galerkin‐mixed FEMs, where the second‐order accuracy for the concentration in spatial directions is established unconditionally. The key to our optimal error analysis is a new negative norm estimate for Nédélec edge element. Moreover, based on the computed numerical concentration, we propose a simple one‐step recovery technique to obtain a new numerical velocity, vorticity and pressure with second‐order accuracy. Numerical experiments are provided to confirm our theoretical analysis.
平流-扩散-反应布林克曼流混合有限元法的新最佳误差分析
本文论述多孔介质中平流-反应-扩散布林克曼流动的 Galerkin 混合有限元方法的误差分析。在过去的几十年中,人们对多孔介质中不可压缩混杂流动的数值方法进行了广泛的研究。在实际应用中,最常用的是最低阶 Galerkin 混合法,其中线性拉格朗日元素用于计算浓度,最低阶 Raviart-Thomas 元素、最低阶 Nédélec 边缘元素和片断常数非连续 Galerkin 元素分别用于计算速度、涡度和压力。现有的这种最低阶有限元方法的误差估计仅适用于空间方向上的所有变量,对于浓度变量来说并不是最优的。本文重点研究线性化后向欧拉 Galerkin 混合有限元法的新最优误差估计,其中无条件地确定了空间方向上浓度的二阶精度。最佳误差分析的关键是对 Nédélec 边缘元素进行新的负规范估计。此外,基于计算出的数值浓度,我们提出了一种简单的一步恢复技术,以获得具有二阶精度的新的数值速度、涡度和压力。我们提供的数值实验证实了我们的理论分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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