论文标题
Atwood和Reynolds的数量对浮力驱动均质可变密度湍流的演变影响
Atwood and Reynolds numbers effects on the evolution of buoyancy-driven homogeneous variable-density turbulence
论文作者
论文摘要
通过使用高分辨率的直接数值模拟,研究了浮力驱动的均质均质可变密度湍流(HVDT)的演变,并使用高分辨率的直接数值模拟来研究大型雷诺数。为了帮助理解浮力驱动的HVDT的高度非平衡性质,基于湍流动能衍生物的行为,流动进化分为四个不同的机制。结果表明,每个制度都对Atwood和Reynolds数字都有独特的依赖性类型。发现与基于整个流动相比,基于流量组成的局部统计数据对Atwood和Reynolds的数量更为敏感。还可以观察到,在较高的Atwood数字下,不同的流量特征在不同时间达到其渐近雷诺数行为。与以前使用的其他形式相比,基于Favre波动动量定义的能量光谱从粘性效应中具有较大的大规模污染。能源谱的演变突出了四种流程度的不同动力学特征。因此,作为生产与耗散比的函数,中间体的能量光谱的斜率从-7/3到-1。经典的kolmogorov频谱在湍流开始衰减后,在检查最高雷诺数的中间位于中间。最后,讨论了以浮力驱动的HVDT和更常规的固定湍流之间的相似性和差异,并提出了新的策略和分析工具。
The evolution of buoyancy-driven homogeneous variable-density turbulence (HVDT) at Atwood numbers up to 0.75 and large Reynolds numbers is studied by using high-resolution Direct Numerical Simulations. To help understand the highly non-equilibrium nature of buoyancy-driven HVDT, the flow evolution is divided into four different regimes based on the behavior of turbulent kinetic energy derivatives. The results show that each regime has a unique type of dependency on both Atwood and Reynolds numbers. It is found that the local statistics of the flow based on the flow composition are more sensitive to Atwood and Reynolds numbers compared to those based on the entire flow. It is also observed that at higher Atwood numbers, different flow features reach their asymptotic Reynolds number behavior at different times. The energy spectrum defined based on the Favre fluctuations momentum has less large scale contamination from viscous effects for variable density flows with constant properties, compared to other forms used previously. The evolution of the energy spectrum highlights distinct dynamical features of the four flow regimes. Thus, the slope of the energy spectrum at intermediate to large scales evolves from -7/3 to -1, as a function of the production to dissipation ratio. The classical Kolmogorov spectrum emerges at intermediate to high scales at the highest Reynolds numbers examined, after the turbulence starts to decay. Finally, the similarities and differences between buoyancy-driven HVDT and the more conventional stationary turbulence are discussed and new strategies and tools for analysis are proposed.