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Statistics on turbulent forced convection pipe flow with different thermal boundary conditions for two Prandtl numbers

Straub, Steffen; Forooghi, Pourya [Beteiligte*r]; Marocco, Luca [Beteiligte*r]; Wetzel, Thomas [Beteiligte*r]; Vinuesa, Ricardo [Beteiligte*r]; Schlatter, Philipp [Beteiligte*r]; Frohnapfel, Bettina [Beteiligte*r] ORCID iD icon

Abstract (englisch):

This database contains numerical results of well-resolved large-eddy simulations and direct numerical simulations on a fully-developed turbulent forced convection pipe flow with different thermal boundary conditions. Please refer to the README for further information.


Zugehörige Institution(en) am KIT Institut für Strömungsmechanik (ISTM)
Institut für Thermische Verfahrenstechnik (TVT)
Publikationstyp Forschungsdaten
Publikationsjahr 2019
Erstellungsdatum 09.07.2019
Identifikator DOI: 10.5445/IR/1000096346
KITopen-ID: 1000096346
HGF-Programm 35.12.01 (POF III, LK 01) Flüssigmetall-Technologie
Lizenz Creative Commons Namensnennung – Nicht kommerziell – Keine Bearbeitungen 4.0 International
Schlagwörter turbulence, liquid metals, forced convection, thermal boundary conditions
Liesmich

Statistics on turbulent forced convection pipe flow with different thermal boundary conditions for two Prandtl numbers

This database features velocity and thermal statistics for fluids of Prandtl numbers Pr=0.71, 0.025 and bulk Reynolds numbers of Re=5300, 11700, 19000, 37700 in a fully-developed forced convection pipe flow.

The different types of thermal boundary conditions are isothermal ("IT"), mixed-type boundary condition ("MBC") and isoflux ("IF") as given in the accompanying publication.

The detailed description of the numerical setup and discussion of the statistics contained in this database are given in the accompanying publication: Straub, Forooghi, Marocco, Wetzel, Vinuesa, Schlatter, Frohnapfel (2019) "The influence of thermal boundary conditions on turbulent forced convection pipe flow at two Prandtl numbers". International Journal of Heat and Mass Transfer. 2019.

Contents

  • Velocity statistics:
    • Friction Reynolds number
    • Mean velocity, Reynolds stresses
    • Budgets of Reynolds stresses and turbulent kinetic energy
  • Thermal statistics:
    • Nusselt number and its contributions
    • Mean temperature, temperature variance and turbulent heat fluxes
    • Budgets of temperature variance and turbulent heat flux
Art der Forschungsdaten Dataset
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