On the extreme wall shear stress events in a turbulent pipe flow

Haoqi Fei, Rui Wang, Pengyu Lai, Jing Wang, Hui Xu
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Abstract

This study investigates the extreme wall shear stress events in a turbulent pipe flow by direct numerical simulation at a frictional Reynolds number Reτ≈500. A two-step conditional averaging scheme is implemented to identify the locations of extreme events and construct their spatial structures. Combined with the joint probability density functions of shear stresses, further evidence is provided for the argument that extreme positive events occur below an intense sweep event (Q4), and the formation of the backflow events is predominantly aided by an identifiable oblique vortex. Moreover, the conditional probability distribution of shear stress for varying thresholds used to define extreme events reveals that, when the threshold is above or below the mean, the probability distributions of the extreme positive events or the backflow events generally follow an exponential relationship, suggesting the extreme wall shear stress events are a threshold-independent process. Finally, the conditional space–time proper orthogonal decomposition is performed to extract the dominant modes and characterize the evolution of the extreme events from inception to dissipation, which exhibits morphological features of real flow structures. It is found that the observation of uθ modes can provide a basic representation of the entire variation process and the extreme values return to normal levels in a very short time.
关于湍流管道流中的极端壁面剪应力事件
本研究在摩擦雷诺数 Reτ≈500 条件下,通过直接数值模拟研究了湍流管道流中的极端壁面剪应力事件。采用两步条件平均法确定极端事件的位置并构建其空间结构。结合剪应力的联合概率密度函数,进一步证明了极端正向事件发生在强烈扫掠事件(Q4)之下的论点,以及逆流事件的形成主要是由可识别的斜漩涡辅助的。此外,在定义极端事件的不同阈值下,剪应力的条件概率分布显示,当阈值高于或低于平均值时,极端正事件或回流事件的概率分布一般遵循指数关系,这表明极端壁面剪应力事件是一个与阈值无关的过程。最后,通过条件时空适当正交分解提取了主导模式,描述了极端事件从开始到消散的演变过程,表现出真实流动结构的形态特征。研究发现,对 uθ 模式的观测可以提供整个变化过程的基本表征,并且极端值会在很短的时间内恢复到正常水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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