Numerical simulation of dilute polymeric fluids with memory effects in the turbulent flow regime

IF 3.8 2区 物理与天体物理 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Computational Physics Pub Date : 2025-07-01 Epub Date: 2025-03-27 DOI:10.1016/j.jcp.2025.113955
Jonas Beddrich, Stephan B. Lunowa, Barbara Wohlmuth
{"title":"Numerical simulation of dilute polymeric fluids with memory effects in the turbulent flow regime","authors":"Jonas Beddrich,&nbsp;Stephan B. Lunowa,&nbsp;Barbara Wohlmuth","doi":"10.1016/j.jcp.2025.113955","DOIUrl":null,"url":null,"abstract":"<div><div>We address the numerical challenge of solving the Hookean-type time-fractional Navier–Stokes–Fokker–Planck equation, a history-dependent system of PDEs defined on the Cartesian product of two <em>d</em>-dimensional spaces in the turbulent regime. Due to its high dimensionality, the non-locality with respect to time, and the resolution required to resolve turbulent flow, this problem is highly demanding.</div><div>To overcome these challenges, we employ the Hermite spectral method for the configuration space of the Fokker–Planck equation, reducing the problem to a purely macroscopic model. Considering scenarios for available analytical solutions, we prove the existence of a Hermite scaling parameter, which exactly reproduces the analytical polymer stress tensor. With this choice, the macroscopic system is equivalent to solving the coupled micro-macro system. We apply second-order time integration and extrapolation of the coupling terms, achieving, for the first time, convergence rates for the fully coupled time-fractional system independent of the order of the time-fractional derivative.</div><div>Our efficient implementation of the numerical scheme allows turbulent simulations of dilute polymeric fluids with memory effects in two and three dimensions. Numerical simulations show that memory effects weaken the drag-reducing effect of added polymer molecules in the turbulent flow regime.</div></div>","PeriodicalId":352,"journal":{"name":"Journal of Computational Physics","volume":"532 ","pages":"Article 113955"},"PeriodicalIF":3.8000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Physics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0021999125002384","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/27 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

We address the numerical challenge of solving the Hookean-type time-fractional Navier–Stokes–Fokker–Planck equation, a history-dependent system of PDEs defined on the Cartesian product of two d-dimensional spaces in the turbulent regime. Due to its high dimensionality, the non-locality with respect to time, and the resolution required to resolve turbulent flow, this problem is highly demanding.
To overcome these challenges, we employ the Hermite spectral method for the configuration space of the Fokker–Planck equation, reducing the problem to a purely macroscopic model. Considering scenarios for available analytical solutions, we prove the existence of a Hermite scaling parameter, which exactly reproduces the analytical polymer stress tensor. With this choice, the macroscopic system is equivalent to solving the coupled micro-macro system. We apply second-order time integration and extrapolation of the coupling terms, achieving, for the first time, convergence rates for the fully coupled time-fractional system independent of the order of the time-fractional derivative.
Our efficient implementation of the numerical scheme allows turbulent simulations of dilute polymeric fluids with memory effects in two and three dimensions. Numerical simulations show that memory effects weaken the drag-reducing effect of added polymer molecules in the turbulent flow regime.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
湍流状态下具有记忆效应的稀聚合物流体的数值模拟
我们解决了求解hookean型时间分数Navier-Stokes-Fokker-Planck方程的数值挑战,这是一个依赖于湍流状态下二维空间笛卡尔积的偏微分方程的历史系统。由于该问题的高维性、对时间的非局部性以及求解湍流所需的分辨率,因此对该问题的要求很高。为了克服这些挑战,我们对Fokker-Planck方程的组态空间采用了Hermite谱方法,将问题简化为纯粹的宏观模型。考虑到现有解析解的情形,我们证明了Hermite标度参数的存在性,该参数精确地再现了解析聚合物应力张量。通过这种选择,求解宏观系统相当于求解耦合的微观-宏观系统。我们应用二阶时间积分和耦合项的外推,首次实现了与时间分数阶导数阶数无关的完全耦合时间分数阶系统的收敛速率。我们的有效实现的数值方案允许湍流模拟稀释聚合物流体与记忆效应在二维和三维。数值模拟表明,在湍流状态下,记忆效应减弱了聚合物分子的减阻作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Computational Physics
Journal of Computational Physics 物理-计算机:跨学科应用
CiteScore
7.60
自引率
14.60%
发文量
763
审稿时长
5.8 months
期刊介绍: Journal of Computational Physics thoroughly treats the computational aspects of physical problems, presenting techniques for the numerical solution of mathematical equations arising in all areas of physics. The journal seeks to emphasize methods that cross disciplinary boundaries. The Journal of Computational Physics also publishes short notes of 4 pages or less (including figures, tables, and references but excluding title pages). Letters to the Editor commenting on articles already published in this Journal will also be considered. Neither notes nor letters should have an abstract.
期刊最新文献
Low Mach number compressible multiphase particle-in-cell method for viscous flow problem A cut-cell based high-fidelity wall-modeled LES framework for compressible wall-bounded turbulent flows A unified 2D conservative framework for multi-medium continuum mechanics by cut-cell interface method A differentiable wall-modeled large-eddy simulation method for high-Reynolds-number wall-bounded turbulent flows A GENERIC-guided active learning SPH method for viscoelastic fluids using Gaussian process regression
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1