到粒子沉重的骚乱的大旋涡的模拟(LES ) 的应用程序提出象的如此的一个基本问题有模型能正确地预言的潜水艇格子规模(SGS ) 的 LES Lagrangian 时间关联(LTC ) 。大多数当前存在的 SGS 模型基于精力预算方程被构造。因此,他们能正确地预言精力系列,但是他们不能在 LTC 上保证正确预言。以前的研究调查了在 Eulerian 时间关联上当模特儿的 SGS 的效果。这篇论文被奉献在 LES 学习 LTC。直接数字的模拟(DNS ) 和 LES 与一光谱旋涡粘性模型为各向同性的骚乱被执行, LTC 用被动向量方法是计算的。先验并且后验测试被执行。对 LTC 的 subgrid 规模贡献不能简单地被忽略,这被观察并且 LES 在上比 DNS 预言 LTC。它从 ens 纪念品系列的精确预言对 LTC 的预言很批评的拉紧的假设被结束。
The application of large-eddy simulation (LES) to particle-laden turbulence raises such a fundamental question as whether the LES with a subgrid scale (SGS) model can correctly predict Lagrangian time correlations (LTCs). Most of the currently existing SGS models are constructed based on the energy budget equations. Therefore, they are able to correctly predict energy spectra, but they may not ensure the correct prediction on the LTCs. Previous researches investigated the effect of the SGS modeling on the Eulerian time correlations. This paper is devoted to study the LTCs in LES. A direct numerical simulation (DNS) and the LES with a spectral eddy viscosity model are performed for isotropic turbulence and the LTCs are calculated using the passive vector method. Both a priori and a posteriori tests are carried out. It is observed that the subgrid;scale contributions to the LTCs cannot be simply ignored and the LES overpredicts the LTCs than the DNS. It is concluded from the straining hypothesis that an accurate prediction of enstrophy spectra is most critical to the prediction of the LTCs.