Data assimilation finite element method for the linearized Navier-Stokes equations with higher order polynomial approximation

被引:0
|
作者
Burman, Erik [1 ]
Garg, Deepika [1 ]
Preuss, Janosch [1 ]
机构
[1] UCL, Dept Math, London WC1E 6BT, England
基金
英国工程与自然科学研究理事会;
关键词
Linearized Navier-Stokes' equations; data assimilation; stabilized finite element methods; error estimates; QUASI-REVERSIBILITY METHOD; CAUCHY-PROBLEM; SOLVE;
D O I
10.1051/m2an/2023106
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this article, we design and analyze an arbitrary-order stabilized finite element method to approximate the unique continuation problem for laminar steady flow described by the linearized incompressible Navier-Stokes equation. We derive quantitative local error estimates for the velocity, which account for noise level and polynomial degree, using the stability of the continuous problem in the form of a conditional stability estimate. Numerical examples illustrate the performances of the method with respect to the polynomial order and perturbations in the data. We observe that the higher order polynomials may be efficient for ill-posed problems, but are also more sensitive for problems with poor stability due to the ill-conditioning of the system.
引用
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页码:223 / 245
页数:23
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