Determination of Navier's slip parameter using data assimilation

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2025-03-15 Epub Date: 2024-11-05 DOI:10.1016/j.amc.2024.129157
Alena Jarolímová, Jaroslav Hron
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Abstract

One of the crucial aspects of patient-specific blood flow simulations is to specify material parameters and boundary conditions. The choice of boundary conditions can have a substantial impact on the character of the flow. While no-slip is the most popular wall boundary condition, some amount of slip, which determines how much fluid is allowed to flow along the wall, might be beneficial for better agreement with flow patterns in medical images. However, even if one assumes the simple Navier's boundary conditions on the wall, in which the relationship between tangential components of the normal traction and the velocity is linear, the determination of the specific value of the slip parameter is often difficult.
In this work, we present and test an optimal control method to estimate Navier's slip parameter on the wall and the velocity profile at the inlet using artificially generated flow domain and flow data. The results show that it is possible to recover the flow patterns and Navier's slip parameter by using sufficiently accurate discretization even from data containing a substantial amount of noise.
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利用数据同化确定纳维滑移参数
针对患者的血流模拟的一个重要方面是指定材料参数和边界条件。边界条件的选择会对血流特性产生重大影响。虽然无滑动是最常用的壁面边界条件,但一定程度的滑动(决定允许多少流体沿壁面流动)可能有利于更好地与医学图像中的流动模式保持一致。然而,即使假设壁面上的边界条件是简单的纳维边界条件,即法向牵引力的切向分量与速度之间是线性关系,要确定滑移参数的具体值通常也很困难。结果表明,通过足够精确的离散化,即使数据含有大量噪声,也能恢复流动模式和纳维滑移参数。
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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