You're currently viewing an old version of this dataset. To see the current version, click here.

Turbulent flow statistics at constant power input (cpi) with and without drag reduction

Abstract: This database contains the result of the Deutsche Forschungsgemeinschaft (DFG) project FR2823/5-1 "Flow Control under Constant Power Input (CPI)". Please refer to the README below for further information. TechnicalRemarks: -------------------------------------------------------------------------------- STATISTICS OF TURBULENT CHANNELS WITH AND WITHOUT DRAG REDUCTION AT CONSTANT POWER INPUT


This database features:

  • high quality turbulent flow statistics for canonical channel flows driven at Constant Power Input (CPI), Constant Flow Rate (CFR) and Constant Pressure Gradient (CPG)

  • global energy budgets and single point Reynolds stress budgets of turbulent channels driven at CPI in their canonical state or in a drag-reduced state achieved via spanwise wall oscillations or opposition control

  • a comprehensive study of several predetermined and feedback active strategies for turbulent drag reductions in channel, comprising parametric studies of the increase in energy efficiency for different values of several control parameters


Acknowledgment:

Support through the Deutsche Forschungsgemeinschaft (DFG) project FR2823/5-1 is gratefully acknowledged. Computing time has been provided by the computational resource ForHLR Phase I funded by the Ministry of Science, Research and the Arts, Baden-Württemberg and DFG.


References:

  • D. Gatti, A. Cimarelli, Y. Hasegawa, B. Frohnapfel & M. Quadrio, (2018) "Global energy fluxes in turbulent channels with flow control", Journal of Fluid Mechanics, Vol. 857, pag. 345-373, doi: doi.org/10.1017/jfm.2018.749

  • M. Quadrio, B. Frohnapfel & Y. Hasegawa, (2016) "Does the choice of the forcing term affect flow statistics in DNS of turbulent channel flows?", European Journal of Mechanics B. / Fluids, Vol. 55, pag. 286-293, doi: doi.org/10.1016/j.euromechflu.2015

  • Y. Hasegawa, M. Quadrio & B. Frohnapfel, (2014) "Numerical simulation of turbulent duct flows with constant power input", Journal of Fluid Mechanics, Vol. 750, pag. 191-209, doi: doi.org/10.1017/jfm.2014.269

  • B. Frohnapfel, Y. Hasegawa & M. Quadrio, (2012) "Money versus time: evaluation of flow control in terms of energy consumption and convenience", Journal of Fluid Mechanics, Vol. 700, pag. 406-418 doi: doi.org/10.1017/jfm.2012.139


Content:

reference-stats --> statistics of turbulent channels at Retau=200, driven at Constant Flow Rate (CFR), Constant Pressure Gradient (CPG) and Constant Power Input (CPI).

energy-budgets --> global energy budgets and single-point Reynolds shear stress budgets of turbulent channels driven at Constant Power Input (CPI) with drag reduction achieved via spanwise wall oscillations (Quadrio & Ricco, JFM 2004) or opposition control (Choi, Moin & Kim, JFM 1994).

flow-control-strategies --> parametric studies for finding the maximum theoretical efficiency of following strategies for turbulent drag reduction at Constant Power Input (CPI): StTW-fz: streamwise-travelling waves of spanwise body force StTW-w : streamwise-travelling waves of spanwise wall velocity SpTW-fz: spanwise-travelling waves of spanwise body force SpTW-w : spanwise-travelling waves of spanwise wall velocity OC-v: opposition control based upon wall-normal velocity BF-w: near-wall body force damping of spanwise velocity fluctuations

Refer to the readme files in each subdirectory for further information on each database.


Changelog:

Apr-23-2018: database uploaded


                                             davide.gatti@kit.edu
                                       bettina.frohnapfel@kit.edu
                                       maurizio.quadrio@polimi.it
                                            ysk@iis.u-tokyo.ac.jp
                                      andrea.cimarelli@unimore.it

Cite this as

Gatti, Davide (2023). Dataset: Turbulent flow statistics at constant power input (cpi) with and without drag reduction. https://doi.org/10.35097/1149

DOI retrieved: 2023

Additional Info

Field Value
Imported on August 4, 2023
Last update August 4, 2023
License CC BY-NC-ND 4.0 Attribution-NonCommercial-NoDerivs
Source https://doi.org/10.35097/1149
Author Gatti, Davide
Source Creation 2023
Publishers
Karlsruhe Institute of Technology
Production Year 2018
Publication Year 2023
Subject Areas
Name: Engineering