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dc.contributor.authorOberlack, Martin
dc.contributor.authorHoyas, Sergio
dc.contributor.authorKraheberger, Stefanie
dc.contributor.authorAlcántara-Ávila, Francisco
dc.contributor.authorLaux, Jonathan
dc.descriptionThis dataset contains the statistical moments based on the instantaneous velocities (H-moments) up to order 6 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.
dc.descriptionM. Oberlack, S. Kraheberger, J. Laux, TU Darmstadt.
dc.descriptionS. Hoyas, F. Alcantara-Avila, Universitat Politècnica de València
dc.description1. 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.
dc.description2. 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.
dc.descriptionPlease check the final references before citing these papers
dc.descriptionThe data can be directly loaded in Matlab.
dc.descriptionx = streamwise coordinate
dc.descriptiony = wall-normal coordinate
dc.descriptionz = spanwise coordinate
dc.descriptionh = channel half-width
dc.descriptionU^n = nth-order moment of mean streamwise velocity
dc.descriptionutau = friction velocity
dc.description(.)b = normalized by ubulk
dc.descriptionnx = 6144 ny = 2101 nz = 6144
dc.descriptionBOX SIZE in h (x,y,z): 2pi|2|1pi
dc.descriptionFLOW CONDITIONS: Retau = 10049 (Re = 290000. Rebulk = 257143 ), utau = 0.034629, ubulk = 0.886746.
dc.descriptionH_U1_Moments.txt: U_1 velocity moments of the instantaneous velocities (H-moments) up to order 6 of the Channel Flow DNS at Re_tau=10^4 as functions of the wall distance y (x_2).
dc.descriptionEmail Sergio Hoyas, about any issue with the data.
dc.descriptionThe authors gratefully acknowledge computing time on the Gauss Centre for Supercomputing e.V. on the GCS Supercomputer SuperMUC-NG at Leibniz Supercomputing Centre under Project No. pr92la, on the supercomputer Lichtenberg II at TU Darmstadt under Project No. project00072, and on the supercomputer CLAIX-2018 at RWTH-Aachen under Project No. bund0008. S. V. K. gratefully acknowledges funding from projects OB96/39-1 and M.O. for partial funding from OB 96/48-1, both financed by the German Research Foundation (DFG). S. H. and F. A.-A. were supported by Contract No. RTI2018-102256-B-I00 of MINECO/FEDER. F. A.-A. is partially funded by GVA/FEDER project ACIF2018. Finally, the authors thank Paul Hollmann for help with the manuscript.
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0
dc.subject.classification404-03 Strömungsmechanikde_DE
dc.titleDNS Channel Data Re_tau=10000 high moments

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