论文标题
不可压缩的非剪切驱动湍流混合层中的可变密度效应
Variable-density effects in incompressible non-buoyant shear-driven turbulent mixing layers
论文作者
论文摘要
当混合层涉及两种不可压缩密度的流体时,出现的不对称是使用不可压缩的(低速)直接数值模拟研究的。模拟在具有非常大的域大小的时间构型中进行,以使混合层达到延长的完全扰动的自相似生长状态。施加平均密度变化会破坏平均对称性相对于经典的单流体时间混合层问题。与先前的可变密度混合层模拟不同,其中流由具有不同热力学特性的相同流体组成,目前,密度变化是由于流体流之间的组成差异,导致了不同的混合动力学。可变密度(非Boussinesq)效应在流量统计数据中引入了强烈的不对称性,随着自由流密度差的增加,最强的湍流可以通过越来越强的湍流来解释。界面厚度的生长速率也降低了,一些厚度定义特别敏感,对密度和流速度曲线之间的对齐方式的相应变化敏感。从混合层中给定位置处密度的统计分布的意义上,额外的不对称性表明,湍流的细尺度优先持续在较轻的流体中,这也是发生最快混合的地方。这些影响会影响涉及密度波动的统计数据,这些统计数据对混合和更复杂的现象具有重要意义,这些现象对混合动力学(例如燃烧)敏感。
The asymmetries that arise when a mixing layer involves two miscible fluids of differing densities are investigated using incompressible (low-speed) direct numerical simulations. The simulations are performed in the temporal configuration with very large domain sizes, to allow the mixing layers to reach prolonged states of fully-turbulent self-similar growth. Imposing a mean density variation breaks the mean symmetry relative to the classical single-fluid temporal mixing layer problem. Unlike prior variable-density mixing layer simulations in which the streams are composed of the same fluids with dissimilar thermodynamic properties, the density variations are presently due to compositional differences between the fluid streams, leading to different mixing dynamics. Variable-density (non-Boussinesq) effects introduce strong asymmetries in the flow statistics that can be explained by the strongest turbulence increasingly migrating to the lighter fluid side as free stream density difference increases. Interface thickness growth rates also reduce, with some thickness definitions particularly sensitive to the corresponding changes in alignment between density and streamwise velocity profiles. Additional asymmetries in the sense of statistical distributions of densities at a given position within the mixing layer reveal that fine scales of turbulence are preferentially sustained in lighter fluid, which also is where fastest mixing occurs. These effects influence statistics involving density fluctuations, which have important implications for mixing and more complicated phenomena that are sensitive to the mixing dynamics, such as combustion.