Stochastic analysis of the time evolution of Laminar-Turbulent bands of plane Couette flow
Joran Rolland

TL;DR
This study combines analytical, numerical, and stochastic modeling to analyze the time evolution of laminar-turbulent bands in plane Couette flow, validating the models with Navier-Stokes simulations and quench experiments.
Contribution
It introduces a stochastic Ginzburg-Landau model for turbulence modulation and validates it against direct numerical simulations of plane Couette flow.
Findings
Autocorrelation of turbulence modulation matches Ornstein-Uhlenbeck process.
Exponential growth of modulation amplitude observed in simulations.
Good agreement between stochastic model predictions and Navier-Stokes results.
Abstract
This article is concerned with the time evolution of the oblique laminar-turbulent bands of transitional plane Couette flow under the influence of turbulent noise. Our study is focused on the amplitude of modulation of turbulence. In order to guide the numerical study of the flow, we first perform an analytical and numerical analysis of a Stochastic Ginzburg-Landau equation for a complex order parameter. The modulus of this order parameter models the amplitude of modulation of turbulence. Firstly, we compute the autocorrelation function of said modulus once the band is established. Secondly, we perform a calculation of average and fluctuations around the exponential growth of the order parameter. This type of analysis is similar to the Stochastic Structural Stability Theory. We then perform numerical simulations of the Navier-Stokes equations in order to confront these predictions with…
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