基于槽道流LES数据库的湍流猝发检测

采用大涡模拟方法,在与两种Reynolds数情形的DNS结果进行充分验证的基础上,获得了不同Reynolds数情形槽道湍流的可靠LES数据库,由此可进一步得到任意Reynolds数时速度剖面、湍流强度、剪应力等统计量的时空分布以及猝发结构的时空特征.基于这些可靠的LES数据库,利用条件采样方法检测猝发事件的时空尺度,并提出由喷发事件时间间隔概率分布曲线确定组合参数对传统的条件采样方法进行改进,以避免检测结果的误差.检测结果表明,引入组合参数后,湍流猝发周期对门限的依赖性得到显著改善.同时,对猝发事件的空间分布进行检测,得到了平均猝发面积比.通过比较不同Reynolds数的结果发现,Reynolds数对平均猝发周期和平均猝发面积比的影响不大.

Assessment of bursting detection methods with LES database of turbulent channel flows

Validated by comparison with DNS, numerical database of turbulent channel flows is yielded by Large Eddy Simulation (LES). Three conventional techniques: uv quadrant 2, VITA and mu-level techniques for detecting turbulent bursts are applied to the identification of turbulent bursts. With a grouping parameter introduced by Bogard & Tiedemann (1986) or Luchik & Tiederman (1987), multiple ejections detected by these techniques which originate from a single burst can be grouped into a single-burst event. The results are compared with experimental results, showing that all techniques yield reasonable average burst period. However, uv quadrant 2 and mu-level are found to be superior to VITA in having large threshold-independent range.

DNS and LES of turbulent channel flow with hydrophobic surface

Hydrophobic surface benefits for drag reduction. Min and Kim[1] do the first Direct Numerical Simulation on drag reduction in turbulent channel flow. And Fukagata and Kasagi[2] make some theoretical analysis based on Dean[3]'s formula and some observations in the DNS results. Using their theory, they conclude that drag reduction is possible in large Reynolds number. Both Direct Numerical Simulation (DNS) and Large Eddy Simulation (LES) are performed in our research. How the LES behaving in the turbulent channel flow with hydrophobic surface is examined. Original Smagorinsky model and its Dynamical model are used in LES. The slip velocities predicted by LES using Dynamical model are in good agreement with DNS as shown in the Figure. Although the percentage of drag reduction predicted by LES shows some discrepancies, it is in the error limit for industrial flow. First order and second order moments of LES are also examined and compared with DNS's results. The first-order moments is calculated well by LES. But there are some discrepancies of second-order moments between LES and DNS. [GRAPHICS]