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Scale-space energy density function transport equation for compressible inhomogeneous turbulent flows
S. Arun, , B. Srinivasan, S.S. Girimaji
Published in Cambridge University Press
2021
Volume: 920
   
Abstract
The scale-space energy density function is defined as the derivative of the two-point velocity correlation as, where is the spatial coordinate of interest and is the separation vector. The function describes the turbulent kinetic energy density of scale at a location and can be considered as the generalization of the spectral energy density function concept to inhomogeneous flows. In this work, we derive the scale-space energy density function transport equation for compressible flows to develop a better understanding of scale-to-scale energy transfer and the degree of non-locality of the energy interactions. Specifically, the effects of variable-density and dilatation on an energy cascade are identified. It is expected that these findings will yield deeper insight into compressibility effects on canonical energy cascades, which will lead to improved models (at all levels of closure) for mass flux, density variance, pressure-dilatation, pressure-strain correlation and dilatational dissipation processes. Direct numerical simulation (DNS) data of mixing layers at different Mach numbers are used to characterize the scale-space behaviour of different turbulence processes. The scaling of the energy density function that leads to self-similar evolution at the two Mach numbers is identified. The scale-space (non-local) behaviour of the production and pressure dilatation at the centre-plane is investigated. It is established that production is influenced by long-distance (order of vorticity thickness) interactions, whereas the pressure dilatation effects are more localized (fraction of momentum thickness) in scale space. The analysis of DNS data demonstrates the utility of the energy density function and its transport equation to account for the relevance of various physical mechanisms at different scales. © 2021 Cambridge University Press. All rights reserved.
About the journal
JournalData powered by TypesetJournal of Fluid Mechanics
PublisherData powered by TypesetCambridge University Press
ISSN00221120