DNS Channel Data Re_tau=10000
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Date
2021-10-21
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This dataset contains the mean flow, intensities, and turbulent budgets of a new Direct Numerical Simulation of a Poiseuille channel flow that has been conducted for a friction Reynolds number of 10000, using the pseudo-spectral code LISO.
Authors:
M. Oberlack, S. Kraheberger, J. Laux, TU Darmstadt.
S. Hoyas, F. Alcantara-Avila, Universitat Politècnica de València
References:
Turbulence Statistics of Arbitrary Moments of Wall-Bounded Shear Flows: A Symmetry Approach, M. Oberlack, S. Hoyas, S. Kraheberger, F. Alcantara-Avila and J. Laux, Phys. Rev. Lett. 128, 024502 – Published 10 January 2022.
Wall turbulence at high friction Reynolds numbers, S. Hoyas, M. Oberlack, S. Kraheberger, F. Alcantara-Avila and J. Laux, Phys. Rev. Fluids 7, 014602 – Published 10 January 2022.
Data:
The data can be directly loaded in Matlab.
NOMENCLATURE:
x = streamwise coordinate
y = wall-normal coordinate
z = spanwise coordinate
h = channel half-width
U = mean streamwise velocity
utau = friction velocity
nu = kinematic viscosity
Retau = Reynolds number utau*h/nu
u',v',w' = rms values of streamwise, wall-normal and spanwise velocity fluctuations
uv', = Reynolds shear stresses
dU/dy = viscous stress
(.)+ = normalized by utau and nu
nx = 6144 ny = 2101 nz = 6144
BOX SIZE in h (x,y,z): 2pi|2|1pi
FLOW CONDITIONS: Retau = 10049 (Re = 290000. Rebulk = 257143 ), utau = 0.034629, ubulk = 0.886746.
Files:
1. P10k.txt: Mean flow and intensities.
2\. P10k: turbulent budgets.
Contact:
Email Sergio Hoyas, serhocal@mot.upv.es about any issue with the data.
The authors gratefully acknowledge providing computing time on the Gauss Centre for Supercomputing e.V.~on the GCS Supercomputer SuperMUC-NG at Leibniz Supercomputing Centre under project number pr92la, on the supercomputer Lichtenberg II at TU Darmstadt under project number project00072 and on the supercomputer CLAIX-2018 at RWTH-Aachen, project bund0008. SK and MO would like to acknowledge her funding by the German Research Foundation (DFG) through the project OB96/39-1 and OB96/48-1. SH and FAA were supported by contract RTI2018-102256-B-I00 of MINECO/FEDER. FAA is partially funded by GVA/FEDER project ACIF2018.
Authors:
M. Oberlack, S. Kraheberger, J. Laux, TU Darmstadt.
S. Hoyas, F. Alcantara-Avila, Universitat Politècnica de València
References:
Turbulence Statistics of Arbitrary Moments of Wall-Bounded Shear Flows: A Symmetry Approach, M. Oberlack, S. Hoyas, S. Kraheberger, F. Alcantara-Avila and J. Laux, Phys. Rev. Lett. 128, 024502 – Published 10 January 2022.
Wall turbulence at high friction Reynolds numbers, S. Hoyas, M. Oberlack, S. Kraheberger, F. Alcantara-Avila and J. Laux, Phys. Rev. Fluids 7, 014602 – Published 10 January 2022.
Data:
The data can be directly loaded in Matlab.
NOMENCLATURE:
x = streamwise coordinate
y = wall-normal coordinate
z = spanwise coordinate
h = channel half-width
U = mean streamwise velocity
utau = friction velocity
nu = kinematic viscosity
Retau = Reynolds number utau*h/nu
u',v',w' = rms values of streamwise, wall-normal and spanwise velocity fluctuations
uv', = Reynolds shear stresses
dU/dy = viscous stress
(.)+ = normalized by utau and nu
nx = 6144 ny = 2101 nz = 6144
BOX SIZE in h (x,y,z): 2pi|2|1pi
FLOW CONDITIONS: Retau = 10049 (Re = 290000. Rebulk = 257143 ), utau = 0.034629, ubulk = 0.886746.
Files:
1. P10k.txt: Mean flow and intensities.
2\. P10k: turbulent budgets.
Contact:
Email Sergio Hoyas, serhocal@mot.upv.es about any issue with the data.
The authors gratefully acknowledge providing computing time on the Gauss Centre for Supercomputing e.V.~on the GCS Supercomputer SuperMUC-NG at Leibniz Supercomputing Centre under project number pr92la, on the supercomputer Lichtenberg II at TU Darmstadt under project number project00072 and on the supercomputer CLAIX-2018 at RWTH-Aachen, project bund0008. SK and MO would like to acknowledge her funding by the German Research Foundation (DFG) through the project OB96/39-1 and OB96/48-1. SH and FAA were supported by contract RTI2018-102256-B-I00 of MINECO/FEDER. FAA is partially funded by GVA/FEDER project ACIF2018.
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Except where otherwise noted, this license is described as CC-BY-NC 4.0 - Attribution-NonCommercial 4.0 International