基于Banach空间的boussinesq型模型全混合有限元法的后检误差分析

IF 3.8 2区 数学 Q1 MATHEMATICS Journal of Numerical Mathematics Pub Date : 2022-04-14 DOI:10.1515/jnma-2021-0101
G. Gatica, Cristian Inzunza, R. Ruiz-Baier, Felipe Sandoval
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引用次数: 6

摘要

摘要本文考虑了最近提出的基于Banach空间的Boussinesq和Oberbeck-Boussinesq模型的全混合变分公式,并为相关的二维和三维混合有限元格式开发了可靠有效的基于残差的后测误差估计器。对于可靠性分析,我们采用了每个子模型(即Boussinesq情况下的Navier-Stokes方程和heat方程)的全局自适应条件,以及非标准Banach空间中适当的Helmholtz分解、Raviart-Thomas和climement插值的近似性质、连续解的进一步正则性和小数据假设。反过来,效率估计遵循逆不等式和通过气泡函数在充分定义的局部Lp空间中的定位技术。最后,给出了包括三维差热环境中自然对流在内的几个数值结果,目的是验证估计器的理论性质,并说明相关自适应算法的性能。
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A posteriori error analysis of Banach spaces-based fully-mixed finite element methods for Boussinesq-type models
Abstract In this paper we consider Banach spaces-based fully-mixed variational formulations recently proposed for the Boussinesq and the Oberbeck–Boussinesq models, and develop reliable and efficient residual-based a posteriori error estimators for the 2D and 3D versions of the associated mixed finite element schemes. For the reliability analysis, we employ the global inf-sup condition for each sub-model, namely Navier–Stokes and heat equations in the case of Boussinesq, along with suitable Helmholtz decomposition in nonstandard Banach spaces, the approximation properties of the Raviart–Thomas and Clément interpolants, further regularity on the continuous solutions, and small data assumptions. In turn, the efficiency estimates follow from inverse inequalities and the localization technique through bubble functions in adequately defined local Lp spaces. Finally, several numerical results including natural convection in 3D differentially heated enclosures, are reported with the aim of confirming the theoretical properties of the estimators and illustrating the performance of the associated adaptive algorithm.
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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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