Abstract
Unstable periodic orbits are believed to underpin the dynamics of turbulence, but by their nature are hard to find computationally. We present a family of methods to converge such unstable periodic orbits for the incompressible Navier–Stokes equations, based on variations of an integral objective functional, and using traditional gradient-based optimisation strategies. Different approaches for handling the incompressibility condition are considered. The variational methods are applied to the specific case of periodic, two-dimensional Kolmogorov flow and compared against existing Newton iteration-based shooting methods. While computationally slow, our methods converge from very inaccurate initial guesses.
| Original language | English |
|---|---|
| Pages (from-to) | A17-1 - A17-14 |
| Number of pages | 14 |
| Journal | Journal of Fluid Mechanics |
| Volume | 941 |
| Early online date | 26 Apr 2022 |
| DOIs | |
| Publication status | Published - 25 Jun 2022 |
Keywords
- turbulent flows
- nonlinear dynamical systems
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