Citation:

PANGAEA.903887

Name: First and second order one-point statistics of pipe0014 (vel_meanstdv0001-0067)
Published: 2019-07-16
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Large eddy simulation; Pipe flow; turbulence; Very large scale motion

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Published: 2019-07-16 • DOI registered: 2020-12-31

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Keyword(s):

Large eddy simulation; Pipe flow; turbulence; Very large scale motion

Related to:

Feldmann, Daniel; Avila, Marc (2018): Overdamped large-eddy simulations of turbulent pipe flow up to Reτ = 1500. Journal of Physics: Conference Series, 1001, 012016, https://doi.org/10.1088/1742-6596/1001/1/012016

Source:

Feldmann, Daniel; Avila, Marc (2019): Raw simulation data, source code and results from all pipe flows [dataset]. (12.1 GiB), raw_simulation_data_of_turbulent_pipe_flow.tar.gz

Further details:

Data information for large-eddy simulations of turbulent pipe flow used in Feldmann & Avila, 2018

List of all simulations/data sets used in Feldmann & Avila, 2018

Event(s):

LES (Large_eddy_simulation) * Method/Device: Computational simulation (SIMUL)

Parameter(s):

#	Name	Short Name	Principal Investigator	Method/Device
1	Radial co-ordinate r in pipe radii	Radial co-ordinate r pipe radii	Feldmann, Daniel	Large-eddy simulations (LES)
2	Mean of the radial velocity component	Mean radial veloc compo u_r	Feldmann, Daniel	Large-eddy simulations (LES)
3	RMS of the radial velocity component	RMS radial veloc compo u_r	Feldmann, Daniel	Large-eddy simulations (LES)
4	Mean of the azimuthal velocity component	Mean azimuthal velo compo u_theta	Feldmann, Daniel	Large-eddy simulations (LES)
5	RMS of the azimuthal velocity component	RMS azimuthal veloc compo u_theta	Feldmann, Daniel	Large-eddy simulations (LES)
6	Mean of the axial velocity component	Mean axial veloc compo u_z	Feldmann, Daniel	Large-eddy simulations (LES)
7	RMS of the axial velocity component	RMS axial veloc compo u_z	Feldmann, Daniel	Large-eddy simulations (LES)

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Size:

504 data points

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