多孔介质中双扩散自然对流半增强有限元法的后验误差分析

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-02-13 DOI:10.1002/num.23090
Mario Álvarez, Eligio Colmenares, Filánder A. Sequeira
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引用次数: 0

摘要

本文介绍了我们在二维和三维后验误差分析方面所做的贡献,该误差分析是我们之前开发的一种半增强混合原始有限元方法,用于数值求解多孔介质中的双扩散自然对流问题。该模型结合了布林克曼-纳维尔-斯托克斯速度和压力方程以及矢量平流-扩散方程,表示多孔介质中粘性流体中某种物质的热量和浓度。我们引入了应变和伪应力张量,利用拉维亚特-托马斯元素、分段多项式和拉格朗日有限元建立了方案的可解性,并提供了先验误差估计。在这项工作中,我们推导出两个可靠的基于残差的后验误差估计器。第一个估计器利用椭圆性、亥姆霍兹分解以及克莱门特内插和拉维亚特-托马斯算子的特性来显示可靠性;效率则由反不等式和定位策略来保证。此外,还推导出另一种估计器,并对其可靠性进行了分析,而无需亥姆霍兹分解。通过数值测试确认了估计器的特性,并展示了自适应方案的性能。
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A posteriori error analysis of a semi‐augmented finite element method for double‐diffusive natural convection in porous media
This paper presents our contribution to the a posteriori error analysis in 2D and 3D of a semi‐augmented mixed‐primal finite element method previously developed by us to numerically solve double‐diffusive natural convection problem in porous media. The model combines Brinkman‐Navier‐Stokes equations for velocity and pressure coupled to a vector advection‐diffusion equation, representing heat and concentration of a certain substance in a viscous fluid within a porous medium. Strain and pseudo‐stress tensors were introduced to establish scheme solvability and provide a priori error estimates using Raviart‐Thomas elements, piecewise polynomials and Lagrange finite elements. In this work, we derive two reliable residual‐based a posteriori error estimators. The first estimator leverages ellipticity properties, Helmholtz decomposition as well as Clément interpolant and Raviart‐Thomas operator properties for showing reliability; efficiency is guaranteed by inverse inequalities and localization strategies. An alternative estimator is also derived and analyzed for reliability without Helmholtz decomposition. Numerical tests are presented to confirm estimator properties and demonstrate adaptive scheme performance.
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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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