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Causal relationship between large outer structures and small-scale near-wall turbulence in a compressible boundary layer at Mach = 2.3

机译:Mach = 2.3时可压缩边界层中大型外部结构与小规模近壁湍流之间的因果关系

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A large amount of the aerodynamic drag is produced by turbulence phenomena occurring in the near-wall layer. Their detailed identification and characterisation is a challenging task, due to the fact that the most important interactions occur within the very thin viscosity-affected sublayer close to the wall. This paper examines the above interactions by analysing DNS data for a compressible boundary layer at Mach = 2.3. The specific aim is to characterize and predict the effects of large-scale outer structures in the log-law region on the near-wall layer. At each wall-normal level, the turbulence field is separated into large-scale and small-scale motions using a two-dimensional variant of the "Empirical Mode Decomposition (EMD)". The response of the near-wall conditions to the large-scale structures in the outer flow is then investigated by a statistical analysis involving spectra and joint PDFs constructed from conditionally sampled data for the small-scale motions within the large-scale footprints. Finally, it is shown that a phenomenological model, designed to predict the "universal" turbulence field, free from the influence of large-scale motions, and originally developed for channel flow by Agostini & Leschziner , also holds for the present compressible boundary layer.
机译:大量的空气阻力是由在近壁层中发生的湍流现象产生的。由于最重要的相互作用发生在靠近壁的非常薄的受粘度影响的子层中,因此对它们进行详细的识别和表征是一项艰巨的任务。本文通过分析DNS数据为Mach = 2.3时可压缩边界层来检查上述相互作用。具体目的是表征和预测对数律区域中近壁层上的大型外部结构的影响。在每个壁法线水平,使用“经验模态分解(EMD)”的二维变体将湍流场分为大尺度运动和小尺度运动。然后,通过统计分析来研究近壁条件对外部流动中大型结构的响应,该统计分析涉及从有条件的采样数据中为大规模足迹内的小规模运动构造的频谱和联合PDF。最后,表明了一种现象模型,该模型旨在预测“通用”湍流场,不受大规模运动的影响,最初由Agostini&Leschziner为通道流动而开发,也适用于当前可压缩边界层。

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