4.7 Article

Buoyancy scale effects in large-eddy simulations of stratified turbulence

期刊

JOURNAL OF FLUID MECHANICS
卷 754, 期 -, 页码 75-97

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/jfm.2014.381

关键词

stratified turbulence; turbulence modelling; turbulence simulation

资金

  1. Canada Foundation for Innovation under the Compute Canada
  2. Government of Ontario
  3. Ontario Research Fund-Research Excellence
  4. University of Toronto
  5. Natural Sciences and Engineering Research Council of Canada

向作者/读者索取更多资源

In this paper large-eddy simulations (LES) of forced stratified turbulence using two common subgrid scale (SGS) models, the Kraichnan and Smagorinsky models, are studied. As found in previous studies using regular and hyper-viscosity, vorticity contours show elongated horizontal motions, which are layered in the vertical direction, along with intermittent Kelvin-Helmholtz (KH) instabilities. Increased stratification causes the layer thickness to collapse towards the dissipation scale, ultimately suppressing these instabilities. The vertical energy spectra are relatively flat out to a local maximum, which varies with the buoyancy frequency N. The horizontal energy spectra depend on the grid spacing Delta; if the resolution is fine enough, the horizontal spectrum shows an approximately -5/3 slope along with a bump at the buoyancy wavenumber k(b) = N/u(rms), where u(rms) is the root-mean-square (r.m.s.) velocity. Our results show that there is a critical value of the grid spacing Delta, below which dynamics of stratified turbulence are well-captured in LES. This critical Delta depends on the buoyancy scale L-b and varies with different SGS models: the Kraichnan model requires Delta < 0.47L(b), while the Smagorinsky model requires Delta < 0.17L(b). In other words, the Smagorinsky model is significantly more costly than the Kraichnan approach, as it requires three times the resolution to adequately capture stratified turbulence.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据