2013
DOI: 10.1063/1.4795547
|View full text |Cite
|
Sign up to set email alerts
|

Tetrahedron deformation and alignment of perceived vorticity and strain in a turbulent flow

Abstract: We describe the structure and dynamics of turbulence by the scale-dependent perceived velocity gradient tensor as supported by following four tracers, i.e., fluid particles, that initially form a regular tetrahedron. We report results from experiments in a von Kármán swirling water flow and from numerical simulations of the incompressible Navier-Stokes equation. We analyze the statistics and the dynamics of the perceived rate of strain tensor and vorticity for initially regular tetrahedron of size r 0 from the… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

5
50
1

Year Published

2015
2015
2017
2017

Publication Types

Select...
7
2

Relationship

2
7

Authors

Journals

citations
Cited by 39 publications
(58 citation statements)
references
References 52 publications
(107 reference statements)
5
50
1
Order By: Relevance
“…This approach was introduced in the framework of Lagrangian turbulence (in that case, the points are fluid particles), and allowed to investigate the structure of isotropic turbulence at different scales. 18,[32][33][34] We perform here Eulerian measurements, by considering sets of four points equally spaced in the flow to construct a perceived velocity gradient tensor, a procedure already used in a different context in rotating turbulence. 28 Several distances r 0 between the points, ranging from ≈η to ≈L/ √ 2, were considered, so as to cover the entire inertial range.…”
Section: Multiscale Analysis In Forced Turbulencementioning
confidence: 99%
See 1 more Smart Citation
“…This approach was introduced in the framework of Lagrangian turbulence (in that case, the points are fluid particles), and allowed to investigate the structure of isotropic turbulence at different scales. 18,[32][33][34] We perform here Eulerian measurements, by considering sets of four points equally spaced in the flow to construct a perceived velocity gradient tensor, a procedure already used in a different context in rotating turbulence. 28 Several distances r 0 between the points, ranging from ≈η to ≈L/ √ 2, were considered, so as to cover the entire inertial range.…”
Section: Multiscale Analysis In Forced Turbulencementioning
confidence: 99%
“…In homogeneous and isotropic turbulence (HIT), for instance, the alignment properties of vorticity with the strain eigenvectors or, equivalently, with the vortex stretching vector, turned out to be one of the rare quantitative statistical manifestations of the existence of internal organization in the flow 16,17 (an analysis that can be extended at various scales, see, e.g., Ref. 18). The nonlinearity depletion phenomenon, another important feature of turbulence occurring at high Reynolds numbers, both in HIT 19,20 and in more realistic flows, 21 can also be evidenced by investigating the velocity and vorticity vectors relative orientation.…”
Section: Introductionmentioning
confidence: 99%
“…Similar methods employing the advection of a tessellation of test particles can be used in simulations of incompressible flows, allowing the calculation of Lagrangian flow properties (e.g. Pumir et al 2013). …”
Section: Projections Of Phase Space In N -Body Simulations and The Damentioning
confidence: 99%
“…Their relative position and velocity with respect to the center of mass of the particle cloud are x ′n (t) = x n (t) − n x n (t)/N and u ′n (t) = u n (t) − n u n (t)/N , respectively. Determining the velocity gradient tensor A ij can then be formulated as a least-squares problem by finding the minimum value of the squared residuals S = n [u ′n i (t) − A ij x ′n j (t)] 2 (Pumir et al 2013). In general, however, the tracer particles in the cloud surrounding a rod are randomly distributed in space, and will sometimes lie in almost in the same plane.…”
Section: Seeding Density and Shape Factormentioning
confidence: 99%