Error analysis for a vorticity/Bernoulli pressure formulation for the Oseen equations

IF 3.8 2区 数学 Q1 MATHEMATICS Journal of Numerical Mathematics Pub Date : 2021-02-11 DOI:10.1515/jnma-2021-0053
Verónica Anaya, D. Mora, A. K. Pani, R. Ruiz-Baier
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Abstract

Abstract A variational formulation is analysed for the Oseen equations written in terms of vorticity and Bernoulli pressure. The velocity is fully decoupled using the momentum balance equation, and it is later recovered by a post-process. A finite element method is also proposed, consisting in equal-order Nédélec finite elements and piecewise continuous polynomials for the vorticity and the Bernoulli pressure, respectively. The a priori error analysis is carried out in the L2-norm for vorticity, pressure, and velocity; under a smallness assumption either on the convecting velocity, or on the mesh parameter. Furthermore, an a posteriori error estimator is designed and its robustness and efficiency are studied using weighted norms. Finally, a set of numerical examples in 2D and 3D is given, where the error indicator serves to guide adaptive mesh refinement. These tests illustrate the behaviour of the new formulation in typical flow conditions, and also confirm the theoretical findings.
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Oseen方程涡度/伯努利压力公式的误差分析
摘要分析了用涡度和伯努利压力表示的Oseen方程的变分形式。使用动量平衡方程完全解耦速度,然后通过后处理恢复速度。提出了涡度和伯努利压力的等阶nsamdsamlec有限元法和分段连续多项式法。对涡度、压力和速度的l2范数进行了先验误差分析;在一个小的假设下,无论是对对流速度,还是对网格参数。设计了后验误差估计器,并利用加权范数研究了后验误差估计器的鲁棒性和有效性。最后,给出了一组二维和三维的数值算例,其中误差指标用于指导自适应网格细化。这些试验说明了新配方在典型流动条件下的性能,也证实了理论结果。
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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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