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Properties of the scalar variance transport equation in turbulent channel flow

Ang Zhou* and Joseph Klewicki†

Sergio Pirozzoli‡

  • Department of Mechanical Engineering, University of New Hampshire, Durham, New Hampshire 03824, USA

  • Dipartimento di Ingegneria Meccanica e Aerospaziale, Sapienza Università di Roma, Via Eudossiana 18, 00184 Roma, Italy

  • *Present address: Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota 55455, USA; zhouang48@gmail.com
  • †Present address: Department of Mechanical Engineering, University of Melbourne, Victoria 3010, Australia; klewicki@unimelb.edu.au
  • ‡sergio.pirozzoli@uniroma1.it
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Phys. Rev. Fluids 4, 024606 – Published 15 February, 2019

DOI: https://doi.org/10.1103/PhysRevFluids.4.024606

Abstract

The asymptotic scaling structure of the total scalar variance equation is investigated for fully developed turbulent channel flow subjected to uniform scalar generation. The total scalar variance balance has a four-layer structure similar to that of the total kinetic energy balance, as previously investigated by Zhou and Klewicki [Phys. Rev. Fluids 1, 044408 (2016)]. Direct numerical simulation data are used to quantify the leading balance structure. These data cover the friction Reynolds number up to δ+=4088 and Prandtl number ranging between Pr=0.2 and 1.0. Of the layers empirically characterized, the inner-normalized width of the third layer is analytically verified to be δ+−δ+/Pr. This result agrees closely with the empirical observations. Consistent with previous observations, the Kármán constant, kθ, for the mean scalar profile for Pr=1 is shown to be greater than the Kármán constant, k, for the mean velocity profile. Unlike previous studies, the present problem formation yields identical mean equations and boundary conditions for the scalar and velocity, and this allows unambiguous comparisons regarding the noted differences between k and kθ. Results from the mean transport equations and streamwise velocity and scalar variance budget equations, as well as the relevant correlation coefficient profiles, are used to clarify the source of the differences between k and kθ. Through the present theory, the results reported herein connect the statistical structure of the scalar and velocity fields to the mean profile slopes.

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Phys. Rev. Fluids 4, 024606– Published 15 February, 2019
  • Received 15 August 2018
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