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A statistical state dynamics-based study of the structure and mechanism of large-scale motions in plane Poiseuille flow

机译:基于统计状态动力学的平面Poiseuille流中大规模运动的结构和机理的研究

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The perspective of statistical state dynamics (SSD) has recently been applied to the study of mechanisms underlying turbulence in a variety of physical systems. An SSD is a dynamical system that evolves a representation of the statistical state of the system. An example of an SSD is the second-order cumulant closure referred to as stochastic structural stability theory (S3T), which has provided insight into the dynamics of wall turbulence, and specifically the emergence and maintenance of the roll/streak structure. S3T comprises a coupled set of equations for the streamwise mean and perturbation covariance, in which nonlinear interactions among the perturbations has been removed, restricting nonlinearity in the dynamics to that of the mean equation and the interaction between the mean and perturbation covariance. In this work, this quasi-linear restriction of the dynamics is used to study the structure and dynamics of turbulence in plane Poiseuille flow at moderately high Reynolds numbers in a closely related dynamical system, referred to as the restricted nonlinear (RNL) system. Simulations using this RNL system reveal that the essential features of wall-turbulence dynamics are retained. Consistent with previous analyses based on the S3T version of SSD, the RNL system spontaneously limits the support of its turbulence to a small set of streamwise Fourier components, giving rise to a naturally minimal representation of its turbulence dynamics. Although greatly simplified, this RNL turbulence exhibits natural-looking structures and statistics, albeit with quantitative differences from those in direct numerical simulations (DNS) of the full equations. Surprisingly, even when further truncation of the perturbation support to a single streamwise component is imposed, the RNL system continues to self-sustain turbulence with qualitatively realistic structure and dynamic properties. RNL turbulence at the Reynolds numbers studied is dominated by the roll/streak structure in the buffer layer and similar very large-scale structure (VLSM) in the outer layer. In this work, diagnostics of the structure, spectrum and energetics of RNL and DNS turbulence are used to demonstrate that the roll/streak dynamics supporting the turbulence in the buffer and logarithmic layer is essentially similar in RNL and DNS.
机译:统计状态动力学(SSD)的观点最近已用于研究各种物理系统中湍流的基本机制。 SSD是动态系统,可演变为系统统计状态的表示形式。 SSD的一个示例是被称为随机结构稳定性理论(S3T)的二阶累积量闭合,它提供了对壁湍流动力学的洞察力,尤其是滚动/条纹结构的出现和维持。 S3T包括用于流向均值和摄动协方差的一组耦合方程组,其中已消除了摄动之间的非线性相互作用,从而将动力学中的非线性限制为均值方程以及均值和摄动协方差之间的相互作用。在这项工作中,这种动力学的准线性约束被用于研究在紧密相关的动力学系统(称为受限非线性(RNL)系统)中,在中等高雷诺数下的平面Poiseuille流中的湍流的结构和动力学。使用该RNL系统进行的仿真表明,保留了壁湍流动力学的基本特征。与以前基于S3T版本的SSD进行的分析一致,RNL系统自发地将其湍流的支持范围限制为一小部分流式傅立叶分量,从而自然地最小化了其湍流动力学。尽管已大大简化,但这种RNL湍流具有自然的结构和统计数据,尽管与完整方程的直接数值模拟(DNS)相比存在定量差异。出乎意料的是,即使在将扰动支撑进一步截断成单个流向分量的情况下,RNL系统也继续以具有定性逼真的结构和动态特性的自持湍流。研究的雷诺数下的RNL湍流主要由缓冲层中的滚动/条纹结构和外层中类似的超大规模结构(VLSM)决定。在这项工作中,通过对RNL和DNS湍流的结构,频谱和能量学进行诊断,来证明支持缓冲层和对数层中湍流的滚动/条纹动力学在RNL和DNS中基本相似。

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