在非常小的颗粒体积分数下,爱因斯坦有效粘度对沉降的影响

IF 1.8 1区 数学 Q1 MATHEMATICS, APPLIED
Richard M. Höfer, Richard Schubert
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引用次数: 14

摘要

我们研究了在许多小颗粒的极限条件下,相同的无惯性球形颗粒在Stokes流体中的沉降。众所周知,颗粒的存在导致悬浮液有效粘度的增加。根据爱因斯坦的公式,这种效应是粒子体积分数φ的数量级。引起粘度增加的流体流动的扰动是非常单一的(如|x|−2)。然而,对于精心准备的初始构型和ϕ→0,我们表明,根据爱因斯坦公式,具有有效粘度的宏观耦合输运-斯托克斯系统的微观动力学近似为阶ϕ2|log δ φ。我们根据初始数据的p- wasserstein距离提供了密度在所有p- wasserstein距离中的收敛性和Lebesgue空间中流体速度的定量估计。我们的证明是基于反射法的近似和Hauray关于无限Wasserstein度规收敛到平均场极限的经典结果的推广。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The influence of Einstein's effective viscosity on sedimentation at very small particle volume fraction

We investigate the sedimentation of identical inertialess spherical particles in a Stokes fluid in the limit of many small particles. It is known that the presence of the particles leads to an increase of the effective viscosity of the suspension. By Einstein's formula this effect is of the order of the particle volume fraction ϕ. The disturbance of the fluid flow responsible for this increase of viscosity is very singular (like |x|2). Nevertheless, for well-prepared initial configurations and ϕ0, we show that the microscopic dynamics is approximated to order ϕ2|logϕ| by a macroscopic coupled transport-Stokes system with an effective viscosity according to Einstein's formula. We provide quantitative estimates both for convergence of the densities in the p-Wasserstein distance for all p and for the fluid velocity in Lebesgue spaces in terms of the p-Wasserstein distance of the initial data. Our proof is based on approximations through the method of reflections and on a generalization of a classical result on convergence to mean-field limits in the infinite Wasserstein metric by Hauray.

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来源期刊
CiteScore
4.10
自引率
5.30%
发文量
62
审稿时长
>12 weeks
期刊介绍: The Nonlinear Analysis section of the Annales de l''Institut Henri Poincaré is an international journal created in 1983 which publishes original and high quality research articles. It concentrates on all domains concerned with nonlinear analysis, specially applicable to PDE, mechanics, physics, economy, without overlooking the numerical aspects.
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