Direct Numerical Simulations of Stably Stratified Decaying Unforced Turbulence
Abstract
In the present paper, the turbulent mixing and structure of decaying stably stratified flows are investigated using direct numerical simulations (DNS). A key quantity for estimating turbulent diapyncal mixing in stably stratified flows is the flux Richardson number Rf (also commonly referred to as the mixing efficiency) which is a measure of the amount of turbulent kinetic energy that is irreversibly converted to background potential energy. Using simulations with varying strengths of density stratification, it is found that when the buoyancy Reynolds number Reb=ϵ/(νN2) (where ϵ is the turbulent kinetic energy dissipation rate, ν is the kinematic viscosity, and N is the Brunt–Väisälä frequency), is less than 10, Rf becomes a property of the fluid as strong buoyancy effects inhibit turbulent mixing and hence Rf is influenced by (molecular) Prandtl number effects. On the other hand, for energetic flows at higher buoyancy Reynolds numbers (i.e. Reb > O(10)), Prandtl number effects diminish, indicating that Rf is a property of the flow. Flow visualization of enstrophy structures show the presence of elongated vortex tubes characteristic of classic isotropic turbulence for weakly stratified flows while 'pancake-like' structures emerge for strongly stratified flows.
Recommended Citation
S. M. Schaad and S. K. Venayagamoorthy, "Direct Numerical Simulations of Stably Stratified Decaying Unforced Turbulence," Computers and Fluids, vol. 158, pp. 2 - 10, Elsevier, Nov 2017.
The definitive version is available at https://doi.org/10.1016/j.compfluid.2017.05.022
Department(s)
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Direct numerical simulations; Mixing efficiency; Stratified turbulence
International Standard Serial Number (ISSN)
0045-7930
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Elsevier, All rights reserved.
Publication Date
24 Nov 2017

Comments
National Science Foundation, Grant OCE-1151838