A linearizing-decoupling finite element method with stabilization for the Peterlin viscoelastic model

IF 0.7 4区 数学 Q3 MATHEMATICS, APPLIED Japan Journal of Industrial and Applied Mathematics Pub Date : 2023-11-27 DOI:10.1007/s13160-023-00629-z
Lekang Xia, Guanyu Zhou
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Abstract

We propose a linearizing-decoupling finite element method for the nonstationary diffusive Peterlin viscoelastic system with shear-dependent viscosity modeling the incompressible polymeric fluid flow, where the equation of the conformation tensor \({\varvec{C}}\) contains a diffusion term with a tiny diffusion coefficient \(\epsilon\). By using the stabilizing terms \(\alpha _1^{-1} \Delta ({\varvec{u}}^{n+1} - {\varvec{u}}^{n})\) and \(\alpha _2^{-1} \Delta ({\varvec{C}}^{n+1} - {\varvec{C}}^{n})\), at every time level, the velocity \({\varvec{u}}\) and each component \(C_{ij}\) of the conformation tensor \({\varvec{C}}\) can be computed in parallel by our scheme. We obtain the error estimate \(C(\tau + h^2)\) for the P2/P1/P2 element, where the constant C depends on the norm of the solution but is not explicitly related to the reciprocal of \(\epsilon\). We conduct several numerical simulations and compute the experimental convergence rates to compare with the theoretical results.

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Peterlin粘弹性模型的线性解耦有限元稳定化方法
本文提出了具有剪切依赖黏度的非平稳扩散Peterlin粘弹性系统的线性解耦有限元方法,对不可压缩聚合物流体流动进行建模,其中构象张量\({\varvec{C}}\)方程包含一个具有微小扩散系数\(\epsilon\)的扩散项。通过使用稳定项\(\alpha _1^{-1} \Delta ({\varvec{u}}^{n+1} - {\varvec{u}}^{n})\)和\(\alpha _2^{-1} \Delta ({\varvec{C}}^{n+1} - {\varvec{C}}^{n})\),在每个时间水平上,速度\({\varvec{u}}\)和构象张量\({\varvec{C}}\)的每个分量\(C_{ij}\)可以通过我们的方案并行计算。我们得到P2/P1/P2元素的误差估计\(C(\tau + h^2)\),其中常数C取决于解的范数,但与\(\epsilon\)的倒数没有显式相关。我们进行了一些数值模拟,并计算了实验收敛率,与理论结果进行了比较。
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来源期刊
CiteScore
1.50
自引率
11.10%
发文量
56
审稿时长
>12 weeks
期刊介绍: Japan Journal of Industrial and Applied Mathematics (JJIAM) is intended to provide an international forum for the expression of new ideas, as well as a site for the presentation of original research in various fields of the mathematical sciences. Consequently the most welcome types of articles are those which provide new insights into and methods for mathematical structures of various phenomena in the natural, social and industrial sciences, those which link real-world phenomena and mathematics through modeling and analysis, and those which impact the development of the mathematical sciences. The scope of the journal covers applied mathematical analysis, computational techniques and industrial mathematics.
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