Optimized dynamic similarity models to predict SGS backscatter in 2D decaying turbulence
文献类型：期刊论文
| 作者 | Wang DD(王丹丹)1,2; Ren, Yuxin1; Ding MN(丁梦楠)2 |
| 刊名 | COMPUTERS & FLUIDS
 |
| 出版日期 | 2025-02-15 |
| 卷号 | 288页码:14 |
| 关键词 | 2D turbulence SGS backscatter Dynamic similarity model |
| ISSN号 | 0045-7930 |
| DOI | 10.1016/j.compfluid.2024.106497 |
| 通讯作者 | Ren, Yu-xin(ryx@tsinghua.edu.cn) |
| 英文摘要 | Large eddy simulation (LES) of two-dimensional (2D) turbulence is often used in the geostrophic flows. However, some basic dynamics underlying traditional SGS models are absent in 2D turbulence, e.g. the vortex stretching. Hence, this research proposes an optimized dynamic similarity model (DSM) for the SGS stress, which is constructed through the dynamic procedure based on the Germano identity. In addition, a modification is made to the dynamic mixed model (DMM) for the sake of realizability condition. The optimized DSM is justified in comparison with the DMM, through the a priori and a posteriori verifications, in the context of the 2D decaying turbulence with turbulent Reynolds number of Re = 3.7 x 104 and turbulent Mach number of Mt = 0.1. Special attention is paid to the consistency of the verification procedure, so that the filtering operations used in the direct numerical simulation (DNS) and LES are optimally equivalent. The SGS transport phenomena, especially the SGS backscatter, predicted by these two models are studied in detail. In addition, the optimized DSM and the DMM are extended for the modified SGS transport vectors of passive scalars to show their capability in calculating 2D turbulent mixing. The numerical results show the optimized DSM provides larger correlation coefficient, better locality, and stronger SGS backscsatter than the DMM does, and therefore it is more suitable for the LES of 2D turbulence. |
| 分类号 | 二类 |
| WOS关键词 | LARGE-EDDY-SIMULATION ; SUBGRID-SCALE BACKSCATTER ; FORMULATION |
| 资助项目 | NSFC[92152201] |
| WOS研究方向 | Computer Science ; Mechanics |
| 语种 | 英语 |
| WOS记录号 | WOS:001374216400001 |
| 资助机构 | NSFC |
| 其他责任者 | Ren, Yu-xin |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/97777]  |
| 专题 | 力学研究所_高温气体动力学国家重点实验室 |
| 作者单位 | 1.Tsinghua Univ, Engn Mech, Beijing 100084, Peoples R China 2.Chinese Acad Sci, Inst Mech, Beijing 100190, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang DD,Ren, Yuxin,Ding MN. Optimized dynamic similarity models to predict SGS backscatter in 2D decaying turbulence[J]. COMPUTERS & FLUIDS,2025,288:14. |
| APA | 王丹丹,Ren, Yuxin,&丁梦楠.(2025).Optimized dynamic similarity models to predict SGS backscatter in 2D decaying turbulence.COMPUTERS & FLUIDS,288,14. |
| MLA | 王丹丹,et al."Optimized dynamic similarity models to predict SGS backscatter in 2D decaying turbulence".COMPUTERS & FLUIDS 288(2025):14. |
入库方式： OAI收割
来源：力学研究所
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