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Statistical transition to turbulence in plane channel flow

Sébastien Gomé, Laurette S. Tuckerman, and Dwight Barkley
Phys. Rev. Fluids 5, 083905 – Published 25 August 2020

Abstract

Intermittent turbulent-laminar patterns characterize the transition to turbulence in pipe, plane Couette, and plane channel flows. The time evolution of turbulent-laminar bands in plane channel flow is studied via direct numerical simulations using the parallel pseudospectral code ChannelFlow in a narrow computational domain tilted by 24 with respect to the streamwise direction. Mutual interactions between bands are studied through their propagation velocities. Energy profiles show that the flow surrounding isolated turbulent bands returns to the laminar base flow over large distances. Depending on the Reynolds number, a turbulent band can either decay to laminar flow or split into two bands. As with past studies of other wall-bounded shear flows, in most cases survival probabilities are found to be consistent with exponential distributions for both decay and splitting, indicating that the processes are memoryless. Statistically estimated mean lifetimes for decay and splitting are plotted as a function of the Reynolds number and lead to the estimation of a critical Reynolds number Recross965, where decay and splitting lifetimes cross at greater than 106 advective time units. The processes of splitting and decay are also examined through analysis of their Fourier spectra. The dynamics of large-scale spectral components seem to statistically follow the same pathway during the splitting of a turbulent band and may be considered as precursors of splitting.

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  • Received 17 February 2020
  • Accepted 24 July 2020

DOI:https://doi.org/10.1103/PhysRevFluids.5.083905

©2020 American Physical Society

Physics Subject Headings (PhySH)

Fluid Dynamics

Authors & Affiliations

Sébastien Gomé* and Laurette S. Tuckerman

  • Laboratoire de Physique et Mécanique des Milieux Hétérogènes (PMMH), CNRS, ESPCI Paris, PSL Research University, Sorbonne Université, Université Paris Diderot, Paris 75005, France

Dwight Barkley

  • Mathematics Institute, University of Warwick, Coventry CV4 7AL, United Kingdom

  • *sebastien.gome@espci.fr
  • laurette.tuckerman@espci.fr
  • D.Barkley@warwick.ac.uk

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Issue

Vol. 5, Iss. 8 — August 2020

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