2012
DOI: 10.1080/14685248.2012.674643
|View full text |Cite
|
Sign up to set email alerts
|

Studying Lagrangian dynamics of turbulence using on-demand fluid particle tracking in a public turbulence database

Abstract: A recently developed public turbulence database system (http://turbulence.pha.jhu.edu) provides new ways to access large datasets generated from high-performance computer simulations of turbulent flows to perform numerical experiments. The database archives 1024 4 (spatial and time) data points obtained from a pseudo-spectral direct numerical simulation (DNS) of forced isotropic turbulence. The flow's Taylor-scale Reynolds number is Re λ = 443, and the simulation output spans about one large-scale eddy turnove… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

2
52
0

Year Published

2014
2014
2019
2019

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 71 publications
(54 citation statements)
references
References 45 publications
2
52
0
Order By: Relevance
“…The velocities and accelerations have negligible mean (not shown) that only affect the statistics reported in this work by no more than 1%. Also not shown are the second-order Lagrangian velocity structure function and the acceleration probability distribution of the flow, which we have compared and are fully in agreement with the results published by the JHU database [34] and elsewhere.…”
Section: Methodssupporting
confidence: 81%
“…The velocities and accelerations have negligible mean (not shown) that only affect the statistics reported in this work by no more than 1%. Also not shown are the second-order Lagrangian velocity structure function and the acceleration probability distribution of the flow, which we have compared and are fully in agreement with the results published by the JHU database [34] and elsewhere.…”
Section: Methodssupporting
confidence: 81%
“…Also shown is TrO 2 t S t . In agreement with the calculations and arguments outlined above, rods align and disks tumble strongly when TrO 2 t S t is large and a rod (red) in turbulent flow as a function of time, using the JHTDB [17,18]. Also shown is TrO 2 t S t (green).…”
supporting
confidence: 83%
“…12(a) are likely dominated by real deformations caused by the turbulence. Figure 13(a) shows the deformation of the arms of a triad simulated in turbulence from the Johns Hopkins turbulence database [16,31]. We simulate the motion of a deformable triad in forced isotropic turbulence on a 1024 3 triply periodic box.…”
Section: B 3d Resultsmentioning
confidence: 99%