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相关论文: Optimizing the Source Distribution in Fluid Mixing

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Mixing a passive scalar field by stirring can be measured in a variety of ways including tracer particle dispersion, via the flux-gradient relationship, or by suppression of scalar concentration variations in the presence of inhomogeneous…

流体动力学 · 物理学 2010-11-08 Zhi Lin , Katarína Bodová , Charles R. Doering

Multiscale mixing efficiencies for passive scalar advection are defined in terms of the suppression of variance weighted at various length scales. We consider scalars maintained by temporally steady but spatially inhomogeneous sources,…

流体动力学 · 物理学 2007-05-23 Charles R. Doering , Jean-Luc Thiffeault

We address the challenge of optimal incompressible stirring to mix an initially inhomogeneous distribution of passive tracers. As a quantitative measure of mixing we adopt the $H^{-1}$ norm of the scalar fluctuation field, equivalent to the…

流体动力学 · 物理学 2013-05-28 Zhi Lin , Jean-Luc Thiffeault , Charles R. Doering

An upper bound on the mixing efficiency is derived for a passive scalar under the influence of advection and diffusion with a body source. For a given stirring velocity field, the mixing efficiency is measured in terms of an equivalent…

流体动力学 · 物理学 2007-12-12 Jean-Luc Thiffeault , Charles R. Doering , John D. Gibbon

We study passive scalar mixing by parallel shear flows in the presence of weak molecular diffusion. We recover the sharp uniform-in-diffusivity mixing rate for shear flows with finitely many critical points, recently proven in [1]. Our…

偏微分方程分析 · 数学 2026-03-11 Kyle L. Liss , Kunhui Luan

We investigate the mixing properties of scalars stirred by spatially smooth, divergence-free flows and maintained by a steady source-sink distribution. We focus on the spatial variation of the scalar field, described by the {\it dissipation…

流体动力学 · 物理学 2015-05-27 Alexandros Alexakis , Alexandra Tzella

The mixing efficiency of a flow advecting a passive scalar sustained by steady sources and sinks is naturally defined in terms of the suppression of bulk scalar variance in the presence of stirring, relative to the variance in the absence…

流体动力学 · 物理学 2011-05-03 Tiffany A. Shaw , Jean-Luc Thiffeault , Charles R. Doering

We study the problem of optimal mixing of a passive scalar $\rho$ advected by an incompressible flow on the two dimensional unit square. The scalar $\rho$ solves the continuity equation with a divergence-free velocity field $u$ with…

偏微分方程分析 · 数学 2017-07-06 Gianluca Crippa , Christian Schulze

Mixing is relevant to many areas of science and engineering, including the pharmaceutical and food industries, oceanography, atmospheric sciences, and civil engineering. In all these situations one goal is to quantify and often then to…

流体动力学 · 物理学 2013-09-24 Jean-Luc Thiffeault

Fluid mixing usually involves the interplay between advection and diffusion, which together cause any initial distribution of passive scalar to homogenize and ultimately reach a uniform state. However, this scenario only holds when the…

流体动力学 · 物理学 2021-09-14 Jean-Luc Thiffeault

Mixing of binary fluids by moving stirrers is a commonplace process in many industrial applications, where even modest improvements in mixing efficiency could translate into considerable power savings or enhanced product quality. We propose…

流体动力学 · 物理学 2020-07-27 Maximilian F. Eggl , Peter J. Schmid

We consider the advection-diffusion equation describing the evolution of a passive scalar in a background shear flow. We prove the optimal uniform-in-diffusivity mixing rate $\| f \|_{H^{-1}} \lesssim \langle t \rangle^{-1/(N+1)}$, $t \geq…

偏微分方程分析 · 数学 2025-11-25 Dallas Albritton , Rajendra Beekie

Particle models for streamer ionization fronts contain correct electron energy distributions, runaway effects and single electron statistics. Conventional fluid models are computationally much more efficient for large particle numbers, but…

等离子体物理 · 物理学 2008-01-09 Chao Li , Ute Ebert , W. J. M. Brok , Willem Hundsdorfer

Chaotic variations in flow speed up mixing of scalar fields via intensified stirring. This paper addresses the statistical properties of a passive scalar field mixing in a regular shear flow with random fluctuations against its background.…

流体动力学 · 物理学 2023-09-27 Nikolay A. Ivchenko , Vladimir V. Lebedev , Sergey S. Vergeles

Flow matching has recently emerged as a promising alternative to diffusion-based generative models, particularly for text-to-image generation. Despite its flexibility in allowing arbitrary source distributions, most existing approaches rely…

计算机视觉与模式识别 · 计算机科学 2026-02-06 Junwan Kim , Jiho Park , Seonghu Jeon , Seungryong Kim

The statistics of a passive scalar randomly emitted from a point source is investigated analytically. Our attention has been focused on the two-point equal-time scalar correlation function. The latter is indeed easily related to the…

混沌动力学 · 物理学 2009-11-13 Antonio Celani , Marco Martins Afonso , Andrea Mazzino

Mixing in open incompressible flows is studied in a model problem with inhomogeneous passive scalar injection on an inlet boundary. As a measure of the efficiency of stirring, the bulk scalar concentration variance is bounded and the bound…

流体动力学 · 物理学 2015-05-18 Jean-Luc Thiffeault , Charles R. Doering

Numerous mixing strategies in microfluidic devices rely on chaotic advection by time-dependent body forces. The question of determining the required forcing function to achieve optimal mixing at a given kinetic energy or power input remains…

流体动力学 · 物理学 2011-10-18 Qizheng Yan , David Saintillan

We introduce a general-purpose method for optimising the mixing rate of advective fluid flows. An existing velocity field is perturbed in a $C^1$ neighborhood to maximize the mixing rate for flows generated by velocity fields in this…

流体动力学 · 物理学 2018-01-30 Gary Froyland , Naratip Santitissadeekorn

Mixing by incompressible flows is a ubiquitous yet incompletely understood phenomenon in fluid dynamics. While previous studies have focused on optimal mixing rates, the question of its genericity, i.e., whether mixing occurs for typical…

偏微分方程分析 · 数学 2025-06-10 Zeyu Jin , Ruo Li
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