Collapse of transitional wall turbulence captured using a rare events algorithm
Joran Rolland

TL;DR
This study applies a rare events algorithm to analyze turbulence collapse in plane Couette flow, revealing the mechanisms and probabilities of transition from turbulent to laminar states with improved computational efficiency.
Contribution
It introduces the use of Adaptive Multilevel Splitting to systematically study turbulence collapse without stochastic forcing, providing new insights into the process and validating results with DNS.
Findings
Turbulence collapse involves local failure of self-sustaining processes.
Streamwise vortices decay first, leading to laminar holes that extend spanwise.
Hole formation is more likely in larger systems and involves distinct opening and closing processes.
Abstract
This text presents one of the first successful applications of a rare events method for the study of multistability in a turbulent flow without stochastic energy injection. The trajectories of collapse of turbulence in plane Couette flow, as well as their probability and rate of occurrence are systematically computed using \emph{Adaptive Multilevel Splitting} (AMS). The AMS computations are performed in a system of size at Reynolds number with an acceleration by a factor with respect to DNS and in a system of size at Reynolds number with an acceleration by a factor . The AMS results are validated with a comparison to DNS in the system of size . Visualisations in both systems indicate that turbulence collapses because the self sustaining process of…
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