Hyperbolicity, shadowing directions and sensitivity analysis of a turbulent three-dimensional flow
arXiv:1711.06626 · doi:10.1017/jfm.2018.986
Abstract
This paper uses compressible flow simulation to analyze the hyperbolicity, shadowing directions, and sensitivities of a weakly turbulent three dimensional cylinder flow at Reynolds number 525 and Mach number 0.1. By computing the first 40 Covariant Lyapunov Vectors (CLVs), we find that unstable CLVs are active in the near-wake region, whereas stable CLVs are active in the far-wake region. This phenomenon is related to hyperbolicity since it shows that CLVs point to different directions; it also suggests that for open flows there is a large fraction of CLVs that are stable. However, due to the extra neutral CLV and the occasional tangencies between CLVs, our system is not uniform hyperbolic. By the Non-intrusive least-squares shadowing (NILSS) algorithm, we compute shadowing directions and sensitivities of long-time-averaged objectives. Our results suggest that shadowing methods may be valid for general chaotic fluid problems.
26 pages, 14 figures
References in corpus (4)
Cited by in corpus (13)
- Stability, sensitivity and optimisation of chaotic acoustic oscillations
- Adjoint sensitivity analysis on chaotic dynamical systems by Non-Intrusive Least Squares Adjoint Shadowing (NILSAS)
- Gradient-free optimization of chaotic acoustics with reservoir computing
- Sensitivity analysis on chaotic dynamical systems by Finite Difference Non-Intrusive Least Squares Shadowing (FD-NILSS)
- A computable realization of Ruelle's formula for linear response of statistics in chaotic systems
- Computational assessment of smooth and rough parameter dependence of statistics in chaotic dynamical systems
- Ergodic Sensitivity Analysis of One-Dimensional Chaotic Maps
- Sensitivity analysis of chaotic systems using a frequency-domain shadowing approach
- An ergodic averaging method to differentiate covariant Lyapunov vectors
- Correcting for Model Changes in Statistical Postprocessing -- An approach based on Response Theory
- Rigorous justification for the space-split sensitivity algorithm to compute linear response in Anosov systems
- Fast differentiation of hyperbolic chaos
- Sensitivity computation of statistically stationary quantities in turbulent flows