4.4 Article

Clustering of vector nulls in homogeneous isotropic turbulence

期刊

PHYSICAL REVIEW FLUIDS
卷 6, 期 2, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevFluids.6.024609

关键词

-

资金

  1. Evaluation-orientation de la Coope ration Scientifique (ECOS) [A18ST04]
  2. LabEx Tec21 (Investissements d'Avenir) [ANR-11-LABX-0030]
  3. ANR [ANR-15-IDEX-02]
  4. PICT [2015-3530, 2018-4298]
  5. National Science Foundation through the Data Infrastructure Building Blocks (DIBBs) program
  6. Alfred P. Sloan Foundation
  7. Gordon and Betty Moore Foundation

向作者/读者索取更多资源

Through numerical simulations, it was found that clusters of velocity, acceleration, and vorticity null points in turbulence tend to cluster together, with velocity nulls showing the strongest clustering. The denser acceleration and vorticity null points were also observed. The scaling relationships of these null points clusters with Re lambda and turbulence length scales were studied, as well as the preferential concentration of inertial particles with properties resembling Lagrangian acceleration null clustering.
We analyze the vector nulls of velocity, Lagrangian acceleration, and vorticity, coming from direct numerical simulations of forced homogeneous isotropic turbulence at Re lambda is an element of O([40-600]). We show that the clustering of velocity nulls is much stronger than those of acceleration and vorticity nulls. These acceleration and vorticity nulls, however, are denser than the velocity nulls. We study the scaling of clusters of these null points with Re lambda and with characteristic turbulence lengthscales. We also analyze datasets of point inertial particles with Stokes numbers St = 0.5, 3, and 6, at Re lambda = 240. Inertial particles display preferential concentration with a degree of clustering that resembles some properties of the clustering of the Lagrangian acceleration nulls, in agreement with the proposed sweep-stick mechanism of clustering formation.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据