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Analysis of the thermal plumes in turbulent Rayleigh-Benard convection based on well-resolved numerical simulations

机译:基于良好解析数值模拟的湍流瑞利-贝纳德对流中的热羽流分析

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In this study, direct numerical simulations and high-resolved large eddy simulations of turbulent Rayleigh-Benard convection were conducted with a fluid of Prandtl number Pr = 0.7 in a long rectangular cell of aspect ratio unity in the cross-section and periodic boundaries in a horizontal longitudinal direction. The analysis of the thermal and kinetic energy spectra suggests that temperature and velocity fields are correlated within the thermal boundary layers and tend to be uncorrelated in the core region of the flow. A tendency of decorrelation of the temperature and velocity fields is also observed for increasing Ra when the flow has become fully turbulent, which is thought to characterize this regime. This argument is also supported by the analysis of the correlation of the turbulent fluctuations vertical bar u vertical bar and theta'. The plume and mixing layer dominated region is found to be separated from the thermal dissipation rates of the bulk and conductive sublayer by the inflection points of the probability density function (PDF). In order to analyse the contributions of bulk, boundary layers and plumes to the mean heat transfer, the thermal dissipation rate PDFs of four different Ra are integrated over these three regions. Hence, it is shown that the core region is dominated by the turbulent fluctuations of the thermal dissipation rate throughout the range of simulated Ra, whereas the contributions from the conductive sublayer due to turbulent fluctuations increase rapidly with Ra. The latter contradicts results by lie, Tong & Xia (Phys. Rev). Lett., vol. 98, 2007). The results also show that the Plumes and mixing layers are increasingly dominated by the mean gradient contributions. The PDFs of the core region are compared to an analytical scaling law for passive scalar turbulence which is found to be in good agreement with the results of the present Study. It is noted that the core region scaling seems to approach the behaviour of a passive scalar as Ra increases, i.e. it changes from pure exponential to a stretched exponential scaling.
机译:在这项研究中,湍流瑞利-贝纳德对流的直接数值模拟和高分辨大涡模拟是在长宽比为1的长矩形矩形单元的横截面和周期边界中的普朗特数Pr = 0.7的流体中进行的。水平的纵向。对热能和动能谱的分析表明,温度和速度场在热边界层内是相关的,并且在流动的核心区域内往往是不相关的。当流动变得完全湍流时,还观察到温度和速度场的去相关趋势会增加Ra,这被认为是这种状态的特征。对湍流波动垂直线和垂直线与θ'的相关性的分析也支持该论点。发现羽状层和混合层占主导的区域通过概率密度函数(PDF)的拐点与本体层和导电子层的散热速率分开。为了分析体积,边界层和羽流对平均热传递的贡献,在这三个区域上对四个不同Ra的散热率PDF进行了积分。因此,可以看出,在整个模拟Ra范围内,核心区域受散热率的湍流波动支配,而由于湍流波动而导致的导电子层的贡献随Ra迅速增加。后者与lie,Tong&Xia(Phys。Rev)的结果相矛盾。 Lett。,第一卷98,2007)。结果还表明,羽孔和混合层越来越多地受到平均梯度贡献的支配。将核心区域的PDF与被动标量湍流的解析比例定律进行比较,发现该定标定律与本研究的结果非常吻合。注意,随着Ra的增加,核心区域缩放似乎接近无源标量的行为,即它从纯指数缩放变为拉伸指数缩放。

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