• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

充分发展湍流中的流体粒子加速度。

Fluid particle accelerations in fully developed turbulence.

作者信息

La Porta A, Voth G A, Crawford A M, Alexander J, Bodenschatz E

机构信息

Laboratory of Atomic and Solid State Physics, Cornell University, Ithaca, New York 14853-2501, USA.

出版信息

Nature. 2001 Feb 22;409(6823):1017-9. doi: 10.1038/35059027.

DOI:10.1038/35059027
PMID:11234005
Abstract

The motion of fluid particles as they are pushed along erratic trajectories by fluctuating pressure gradients is fundamental to transport and mixing in turbulence. It is essential in cloud formation and atmospheric transport, processes in stirred chemical reactors and combustion systems, and in the industrial production of nanoparticles. The concept of particle trajectories has been used successfully to describe mixing and transport in turbulence, but issues of fundamental importance remain unresolved. One such issue is the Heisenberg-Yaglom prediction of fluid particle accelerations, based on the 1941 scaling theory of Kolmogorov. Here we report acceleration measurements using a detector adapted from high-energy physics to track particles in a laboratory water flow at Reynolds numbers up to 63,000. We find that, within experimental errors, Kolmogorov scaling of the acceleration variance is attained at high Reynolds numbers. Our data indicate that the acceleration is an extremely intermittent variable--particles are observed with accelerations of up to 1,500 times the acceleration of gravity (equivalent to 40 times the root mean square acceleration). We find that the acceleration data reflect the anisotropy of the large-scale flow at all Reynolds numbers studied.

摘要

流体粒子在波动压力梯度作用下沿不规则轨迹被推动时的运动,是湍流中输运和混合的基础。这在云的形成和大气输运、搅拌化学反应器和燃烧系统中的过程以及纳米颗粒的工业生产中都至关重要。粒子轨迹的概念已成功用于描述湍流中的混合和输运,但一些至关重要的问题仍未得到解决。其中一个问题是基于1941年科尔莫戈罗夫尺度理论的流体粒子加速度的海森堡 - 亚格洛姆预测。在此,我们报告了使用一种改编自高能物理的探测器进行的加速度测量,该探测器用于在雷诺数高达63000的实验室水流中跟踪粒子。我们发现,在实验误差范围内,在高雷诺数下实现了加速度方差的科尔莫戈罗夫尺度。我们的数据表明,加速度是一个极其间歇性的变量——观察到粒子的加速度高达重力加速度的1500倍(相当于均方根加速度的40倍)。我们发现,加速度数据反映了在所研究的所有雷诺数下大尺度流动的各向异性。

相似文献

1
Fluid particle accelerations in fully developed turbulence.充分发展湍流中的流体粒子加速度。
Nature. 2001 Feb 22;409(6823):1017-9. doi: 10.1038/35059027.
2
Acceleration correlations and pressure structure functions in high-reynolds number turbulence.高雷诺数湍流中的加速度相关性和压力结构函数
Phys Rev Lett. 2007 Nov 16;99(20):204501. doi: 10.1103/PhysRevLett.99.204501. Epub 2007 Nov 14.
3
Microbubbles and Microparticles are Not Faithful Tracers of Turbulent Acceleration.微泡和微颗粒不是湍流加速的忠实示踪剂。
Phys Rev Lett. 2016 Jul 8;117(2):024501. doi: 10.1103/PhysRevLett.117.024501.
4
Particle dynamics and mixing in the frequency driven "Kelvin cat eyes" flow.频率驱动的“开尔文猫眼”流中的粒子动力学与混合
Chaos. 2001 Jun;11(2):351-358. doi: 10.1063/1.1366371.
5
Local structure of turbulence in flows with large Reynolds numbers.大雷诺数流动中湍流的局部结构。
Chaos. 1991 Aug;1(2):237-241. doi: 10.1063/1.165835.
6
Acceleration of rain initiation by cloud turbulence.云湍流对降雨起始的加速作用。
Nature. 2002 Sep 12;419(6903):151-4. doi: 10.1038/nature00983.
7
Lagrangian measurements of inertial particle accelerations in grid generated wind tunnel turbulence.在网格生成的风洞湍流中对惯性粒子加速度的拉格朗日测量。
Phys Rev Lett. 2006 Oct 6;97(14):144507. doi: 10.1103/PhysRevLett.97.144507. Epub 2006 Oct 5.
8
Inhomogeneous distribution of water droplets in cloud turbulence.云湍流中水滴的非均匀分布。
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Sep;92(3):033001. doi: 10.1103/PhysRevE.92.033001. Epub 2015 Sep 1.
9
Joint statistics of the Lagrangian acceleration and velocity in fully developed turbulence.充分发展湍流中拉格朗日加速度和速度的联合统计
Phys Rev Lett. 2005 Jan 21;94(2):024501. doi: 10.1103/PhysRevLett.94.024501. Epub 2005 Jan 18.
10
Curvature of lagrangian trajectories in turbulence.湍流中拉格朗日轨迹的曲率
Phys Rev Lett. 2007 Feb 2;98(5):050201. doi: 10.1103/PhysRevLett.98.050201. Epub 2007 Jan 30.

引用本文的文献

1
Masses of Hadrons, Tetraquarks, and Pentaquarks Through a Tsallis-Entropy Approach in the MIT Bag Model.麻省理工学院袋模型中通过Tsallis熵方法研究强子、四夸克和五夸克的质量
Entropy (Basel). 2025 Jun 26;27(7):681. doi: 10.3390/e27070681.
2
Synthetic Lagrangian turbulence by generative diffusion models.基于生成扩散模型的合成拉格朗日湍流
Nat Mach Intell. 2024;6(4):393-403. doi: 10.1038/s42256-024-00810-0. Epub 2024 Apr 17.
3
Dynamics of plosive consonants via imaging, computations, and soft electronics.基于成像、计算和软电子学的爆破音动力学研究。
Proc Natl Acad Sci U S A. 2022 Nov 16;119(46):e2214164119. doi: 10.1073/pnas.2214164119. Epub 2022 Nov 7.
4
Clustering of fast gyrotactic particles in low-Reynolds-number flow.在低雷诺数流动中快速旋进粒子的聚集。
PLoS One. 2022 Apr 7;17(4):e0266611. doi: 10.1371/journal.pone.0266611. eCollection 2022.
5
Experimental investigation of preferential concentration in zooplankton swimming in turbulence.在湍流中洄游的浮游动物的优先浓缩实验研究。
Eur Phys J E Soft Matter. 2022 Feb 7;45(2):12. doi: 10.1140/epje/s10189-022-00167-5.
6
Turbulence explains the accelerations of an eagle in natural flight.紊流解释了鹰在自然飞行中的加速现象。
Proc Natl Acad Sci U S A. 2021 Jun 8;118(23). doi: 10.1073/pnas.2102588118.
7
Experimental observation of the elastic range scaling in turbulent flow with polymer additives.含聚合物添加剂的湍流中弹性范围标度的实验观察
Sci Adv. 2021 Apr 2;7(14). doi: 10.1126/sciadv.abd3525. Print 2021 Apr.
8
Non-Linear Diffusion and Power Law Properties of Heterogeneous Systems: Application to Financial Time Series.非均匀系统的非线性扩散与幂律性质:在金融时间序列中的应用
Entropy (Basel). 2018 Aug 30;20(9):649. doi: 10.3390/e20090649.
9
Higher-order statistics based multifractal predictability measures for anisotropic turbulence and the theoretical limits of aviation weather forecasting.基于高阶统计量的各向异性湍流多重分形可预测性度量及航空气象预报的理论极限
Sci Rep. 2019 Dec 27;9(1):19829. doi: 10.1038/s41598-019-56304-2.
10
Persistent accelerations disentangle Lagrangian turbulence.持续加速度解开拉格朗日湍流。
Nat Commun. 2019 Aug 7;10(1):3550. doi: 10.1038/s41467-019-11060-9.