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多尺度剪切弥散的物理机制与解析理论

管明阳 王展

管明阳, 王展. 多尺度剪切弥散的物理机制与解析理论. 力学进展, 待出版 doi: 10.6052/1000-0992-26-014
引用本文: 管明阳, 王展. 多尺度剪切弥散的物理机制与解析理论. 力学进展, 待出版 doi: 10.6052/1000-0992-26-014
Guan M Y, Wang Z. Basic physics and analytic theory of multi-scale dispersion: A review. Advances in Mechanics, in press doi: 10.6052/1000-0992-26-014
Citation: Guan M Y, Wang Z. Basic physics and analytic theory of multi-scale dispersion: A review. Advances in Mechanics, in press doi: 10.6052/1000-0992-26-014

多尺度剪切弥散的物理机制与解析理论

doi: 10.6052/1000-0992-26-014 cstr: 32046.14.1000-0992-26-014
基金项目: 感谢国家自然科学基金专项项目(123B2039)、国家杰出青年科学基金项目(12325207)、国家自然科学基金专家推荐原创探索计划项目(42450111)、人社部创新人才支持计划(GZC20251266、2026M791995)以及中国科学院流固耦合系统力学重点实验室个人探索类青年科技基金(E0XM040401)的资助. 感谢北京大学陈国谦教授、李植教授, 中国水利水电科学研究院曾利教授, 中国科学院力学研究所孙振旭研究员等学者的长期指导、合作与交流. 感谢中国科学院大学的许葛幸与成亦芾协助校订本文初稿.
详细信息
    作者简介:

    管明阳, 中国科学院力学研究所助理研究员. 博士提前毕业于北京大学力学系流体力学专业, 从事环境与生物流体力学等方向的基础研究. 基于连续介质力学和统计力学, 提出了适用于溶质、胶体和微生物的多尺度弥散理论, 已在流体力学旗舰期刊Journal of Fluid Mechanics发表学术研究论文5篇, 曾在中国力学大会环境力学分会场、清华三亚丘成桐数学科学中心国际会议(TSIMF)等国内外著名学术会议作邀请报告. 独立承担国家自然科学基金专项项目、中国科协首届青年人才托举工程博士生专项、人社部创新人才支持计划等课题

    王展, 中国科学院力学研究所研究员. 博士毕业于美国威斯康星大学麦迪逊分校流体力学与应用数学专业, 毕业后历任英国伦敦大学学院研究助理与巴斯大学讲师, 期间曾入选Woods Hole海洋研究所GFD Fellow和Staff Member. 长期从事非线性水波、环境流体力学、地球物理流体力学等方向的基础研究. 近年来深耕海洋环境力学领域, 紧扣卫星遥感与海浪预报、大型浮式结构安全、海洋质能输运等需求开展应用基础研究. 目前担任中国科学院大学岗位教授、中国力学学会理事及环境力学专业委员会主任、亚洲流体力学委员会委员, 以及《力学进展》、Wave MotionIMA Journal of Applied Mathematics副主编

    通讯作者:

    zwang@imech.ac.cn

  • 中图分类号: O35

Basic physics and analytic theory of multi-scale dispersion: A review

More Information
  • 摘要: 本文综述剪切流中的弥散问题. 经典Taylor–Aris理论源于截面平均浓度的长时间渐近展开, 并不适用于刻画早期阶段所呈现的多尺度动力学结构. 针对剪切弥散全过程, 本文在Lagrange坐标系下揭示其多尺度扩散叠加的物理本质, 构建统一时空尺度的弥散模型. 通过引入兼具空间各向异性和时间非线性特征的等效扩散度张量, 实现层流与湍流弥散全过程的对流与扩散动力学解耦. 在此基础上, 进一步阐述解析模型向主动物质领域的跨尺度拓展, 涵盖浮游微生物和人工粒子的弥散机理与研究进展, 重点考虑旋转动力学和剪切弥散的耦合效应及其引发的反常标度律. 结合复杂系统从个体行为到集体涌现的演化规律, 探讨发展剪切弥散解析理论的基础价值, 展望水体环境中污染物迁移转化、微藻水动力学聚集以及微纳机器人协同调控等应用前景.

     

  • 图  1  多尺度弥散过程. (a) 剪切弥散初始段、过渡段和渐近段的示意图, 其演化可通过在流动路径的不同位置测量峰值宽度得到 (Moser & Baker 2021); (b) 微通道中纳米粒子的多尺度弥散演化阶段 (Vilquin et al. 2021)

    图  2  湍流场中的弥散 (Xia et al. 2013). (a) 弱电磁驱动湍流, (b) 强电磁驱动湍流, (c)法拉第波驱动的二维湍流

    图  3  复杂流动中剪切弥散过程的理论与实验对比. (a) 微通道中带电纳米粒子在开放吸附边界下的Taylor 弥散过程, 实验结果(左列)和Taylor–Aris弥散理论(右列)的对比 (Vilquin et al. 2023); (b) 植被水流中弥散系数随均匀植被有效直径的变化 (Tanino & Nepf 2008); (c) 不同横截面管道中溶质弥散的空间分布 (Aminian et al. 2016); (d) 圆管泊肃叶流中点源弥散的全过程演化, Guan和Chen (2024) 的理论预测与Aminian 等(2016) 的实验观测定性一致

    图  4  主动物质的水动力学聚集和致旋性捕获及非定常等效捕获机理. (a) 水动力学聚集现象 (Kessler 1985a): 极地雪藻在下沉流(左侧)和上涌流(右侧)中分别呈现中心和壁面聚集. 由于细胞比水沉, 高浓度细胞在上涌流中下沉, 形成致旋型羽流和失稳; (b) 致旋性捕获现象 (Durham et al. 2009): 在水平剪切流中, 致旋型微生物在弱剪切区向上迁移, 而在强剪切区则快速旋转并被捕获, 形成浮游植物薄层, 这可能是赤潮等自然灾害的潜在机理; (c) 在上涌流中, 朝向中轴线内侧的致旋型主动粒子的运动($ -\text{π} \lt \phi \lt 0 $)是不稳定的, 因为重力矩$ {T}_{{\mathrm{G}}} $和黏性力矩$ {T}_{{\text{ν}} } $的共同作用使粒子发生向外、向上的运动. 因此, 主动粒子在管壁和中轴线之间被短暂捕获, 最终随致旋性效应的时间积累而聚集在管壁. 在下沉流中, 致旋型主动粒子稳定地向内侧迁移($ 0 \lt \phi \lt \text{π} $). Guan 等 (2023)揭示了非定常等效捕获与水动力学聚集竞争下的丰富现象

    图  5  角度空间中的弥散与基于趋向性的控制策略. (a) 振荡剪切流中的角度分布, 下方是通过保角变换得到的云图, 其第一行和第二行分别为随机游走模拟和实验结果 (Leahy et al. 2013); (b) 基于趋向性控制主动粒子的集体行为: 对称破缺现象的全局机理和局部机理 (Théry et al. 2024)

    图  6  浮游微生物的多种游动模式与机理 (Koch & Subramanian 2011). (a) 细菌通过螺旋状鞭毛束的旋转推动前进; (b) 游动细菌产生的偶极子流场; (c) 跑动–翻转(run-and-tumble)运动; (d) 伸展的流体运动会使推动者(pusher, 如细菌)沿特定方向排列, 使其力偶极子(红色箭头)增强流动, 而拉动者(puller, 如微藻)则会阻碍流动

    图  7  浮游微生物密度分布的实验与理论对比. (a) 左图为抛物型流动中极地雪藻(C. nivalis)与赤潮异弯藻(H. akashiwo)形成的浮游植物薄层. 中间图片为归一化密度分布的实验数据(实线)与数值模拟(虚线)对比, 在长时间尺度下吻合得较好. 右图中垂向游动速度的实验(实线)与数值(虚线)定量一致, 蓝色条带为观测标准差. 在$ S\approx 0 $处的峰值速度的衰减(灰线)与重力致旋性理论的预测相符, 这表明致旋性可能是导致有害藻类薄层形成的重要机理 (Durham et al. 2009); (b) 二维圆柱点涡流动中重力致旋性微藻密度$ n $随径向位置$ r $的分布(各类符号对应不同时刻)的密度分布实验数据与(实线) Gauss解在长时间后高度吻合. Gauss解中, $ \varOmega $表示圆柱转动的恒定角速度, $ g $是重力加速度常数, $ {v}_{{\mathrm{s}}} $表示游动速度大小, $ B $为重力致旋性对应的特征重定向时间, $ \lambda =1/(2B{D}_{{\mathrm{r}}}) $是重力致旋性参数, $ {D}_{{\mathrm{r}}} $是旋转扩散度, 而$ F(\lambda ) $是关于$ \lambda $的无量纲函数, 具体表达式详见文献 (Cencini et al. 2019). 小图为渐近长时间后微藻群体的平均径向位置随旋转频率$ f $的变化, 红点是实验测量值, 实线为理论预测对应的解析解; (c) 三维球形点涡流动中枯草芽孢杆菌(B. subtilis)的概率密度随游动方向的分布, 左侧为Sokolov和Aranson (2016) 的实验结果, 右侧为Smoluchowski模型的理论预测结果, 实验数据经归一化后落在本文解析理论所预测的统一曲线上 (Guan et al. 2026b)

    图  8  微生物群体输运、微流控混合与细菌湍流. (a) 2只草履虫因碰撞导致的角度变化, 红色符号表示实验结果, 蓝色符号为基于squirmer模型的数值模拟 (Ishikawa 2025); (b) 概率密度分布的实验测量与理论模拟结果对比, 包括新月柄杆菌 (▲, Aranson 2022)、大肠杆菌 (▼, Berke et al. 2008) 及公牛精子 (■, Rothschild 1963), 虚线表示均匀分布. 插图则展示了对应于不同鞭毛长度和旋转扩散度的数值模拟分布 (Aranson 2022); (c) 被动微通道混合器, 加粗斜线表示通道底部的交错人字形沟槽, 下方的荧光显微图像展示了等量荧光溶液和非荧光溶液的混合搅拌过程 (Stroock et al. 2002). 随着横截面上溶质的快速混合, 沿主流方向的剪切弥散效应显著减弱; (d) 两图分别为枯草芽孢杆菌Lagrange湍流的可视化实验观测和连续介质模型预测的二维云图 (Dunkel et al. 2013)

    表  1  剪切弥散理论发展史

    文献代表性贡献文献代表性贡献
    Taylor 1953, 1954b开创剪切弥散理论研究Yasuda 1984分析振荡流中的弥散特性
    Townsend et al. 1954揭示湍流剪切流中扩散机理Chatwin & Allen 1985建立河流与河口弥散模型
    Aris 1956建立严格的Taylor–Aris理论Brenner & Edwards 1993提出广义Taylor弥散理论
    Batchelor 1957奠定湍流弥散的数学基础Stone & Brenner 1999发展高维流动的弥散理论
    Saffman 1960给出渐近短时间的近似源解Mei & Vernescu 2010引入均质化方法分析弥散
    Lighthill 1966寻找早期弥散阶段的理论解Lauga 2011a研究往复运动粒子的弥散
    Gill 1967构建反应–对流–扩散模型Ishikawa & Pedley 2014构建微生物群体输运模型
    Fischer 1973, 1976系统综述剪切弥散理论Jiang & Chen 2019解析主动粒子弥散理论
    Smith 1982提出弥散过程的Gauss拟合Guan & Chen 2024建立沿流线的弥散理论
    注: “Taylor obtained his solution by a display of the sort of brilliance we can only admire.” — Fischer (1979)
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  • 收稿日期:  2026-04-04
  • 录用日期:  2026-07-07
  • 网络出版日期:  2026-07-24

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