Using particle trajectories to track topological features in chaotic flow

Jerry Gollub

Haverford College, Haverford, USA

(with Nicholas Ouellette)

Fluid flows have special topological features known as hyperbolic and elliptic points. In both cases, the fluid is instantaneously at rest locally; in the hyperbolic case fluid approaches along one line and departs along another, while near elliptic points, fluid circulates. We show how measurements of the time-dependent curvature of particle trajectories allow these special points to be detected and tracked over time. We show how the special points are created and annihilated in pairs, at a rate that depends on the Reynolds number. This approach leads to a novel method of characterizing spatiotemporally chaotic flow. Here, the flows have significant inertia, but the inertia of the tracers is relatively small. The current work focuses on two-dimensional flow, but the method could be extended to three dimensions in simulations.

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