A statistical state dynamics-based study of the structure and mechanism of large-scale motions in plane Poiseuille flow
Brian F. Farrell, Petros J. Ioannou, Javier Jim\'enez, Navid C., Constantinou, Adri\'an Lozano-Dur\'an, Marios-Andreas Nikolaidis

TL;DR
This study uses a statistical state dynamics approach, specifically the RNL system, to analyze large-scale turbulence structures in plane Poiseuille flow, revealing minimal yet realistic turbulence dynamics at high Reynolds numbers.
Contribution
It demonstrates that the RNL system can replicate key turbulence features with greatly simplified dynamics, providing insights into the structure and mechanisms of wall turbulence.
Findings
RNL captures essential turbulence structures like roll/streak formations.
Turbulence dynamics are maintained with minimal streamwise components.
RNL results closely match DNS in structure and energetics.
Abstract
The perspective of statistical state dynamics (SSD) has recently been applied to the study of mechanisms underlying turbulence in various physical systems. An example implementation of SSD is the second order 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. This closure eliminates 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. Here, 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)…
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