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Data assimilation finite element method for the linearized Navier-Stokes equations in the low Reynolds regime
Inverse Problems ( IF 2.0 ) Pub Date : 2020-08-01 , DOI: 10.1088/1361-6420/ab9161
Muriel Boulakia 1, 2 , Erik Burman 3 , Miguel A. Fernndez 1, 2 , Colette Voisembert 1, 2
Affiliation  

In this paper we are interested in designing and analyzing a finite element data assimilation method for laminar steady flow described by the linearized incompressible Navier-Stokes equation. We propose a weakly consistent stabilized finite element method which reconstructs the whole fluid flow from velocity measurements in a subset of the computational domain. Using the stability of the continuous problem in the form of a three balls inequality, we derive quantitative local error estimates for the velocity. Numerical simulations illustrate these convergences properties and we finally apply our method to the flow reconstruction in a blood vessel.

中文翻译:

低雷诺数线性化纳维-斯托克斯方程的数据同化有限元方法

在本文中,我们感兴趣的是设计和分析由线性化不可压缩 Navier-Stokes 方程描述的层流稳定流的有限元数据同化方法。我们提出了一种弱一致的稳定有限元方法,该方法从计算域子集中的速度测量重建整个流体流动。使用三球不等式形式的连续问题的稳定性,我们推导出速度的定量局部误差估计。数值模拟说明了这些收敛特性,我们最终将我们的方法应用于血管中的流动重建。
更新日期:2020-08-01
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