Mixing Efficiency in Decaying Stably Stratified Turbulence
Abstract
Mixing efficiency in stratified flows is a measure of the proportion of turbulent kinetic energy that goes into increasing the potential energy of the fluid by irreversible mixing. In this research direct numerical simulations (DNS) and rapid distortion theory (RDT) calculations of transient turbulent mixing events are carried out in order to study this aspect of mixing. In particular, DNS and RDT of decaying, homogeneous, stably-stratified turbulence are used to determine the mixing efficiency as a function of the initial turbulence Richardson number R it 0 = (N L0 / u0)2, where N is the buoyancy frequency and L0 and u0 are initial length and velocity scales of the turbulence. The results show that the mixing efficiency increases with increasing R it 0 for small R it 0, but for larger R it 0 the mixing efficiency becomes approximately constant. These results are compared with data from towed grid experiments. There is qualitative agreement between the DNS results and the available experimental data, but significant quantitative discrepancies. The grid turbulence experiments suggest a maximum mixing efficiency (at large R it 0) of about 6%, while the DNS and RDT results give about 30%. We consider two possible reasons for this discrepancy: Prandtl number effects and non-matching initial conditions. We conclude that the main source of the disagreement probably is due to inaccuracy in determining the initial turbulence energy input in the case of the grid turbulence experiments. © 2008 Elsevier B.V. All rights reserved.
Recommended Citation
D. D. Stretch et al., "Mixing Efficiency in Decaying Stably Stratified Turbulence," Dynamics of Atmospheres and Oceans, vol. 49, no. 1, pp. 25 - 36, Elsevier, Jan 2010.
The definitive version is available at https://doi.org/10.1016/j.dynatmoce.2008.11.002
Department(s)
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Mixing efficiency; Stable stratification; Turbulence
International Standard Serial Number (ISSN)
0377-0265
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Elsevier, All rights reserved.
Publication Date
01 Jan 2010
