From laminar to chaotic flow via stochastic resonance in viscoelastic channel flow
Year: 2024
Type: article
Abstract: Recent research indicates that low-inertia viscoelastic channel flow experiences supercritical nonnormal mode elastic instability from laminar to sustained chaotic flow due to finite-size perturbations. The challenge of this paper is to elucidate a realization of such a pathway when the intensity of the elastic wave is too low to amplify vortex fluctuations above the instability onset. The study identifies two subregions in the transition flow regime at Weissenberg number Wi > Wi c , the instability onset. In the lower subregion at Wi c ≤ Wi ≤ 300 , we discover periodic spikes in the streamwise velocity time series u ( t ) that appear in the chaotic power spectrum as low-frequency, high-intensity peaks resembling stochastic resonance (SR). In contrast, the spanwise velocity power spectrum, E w , remains flat and with low-intensity, noisy, and broad elastic wave peaks. The spikes significantly distort the probability density function of u and initiate and amplify random streaks and wall-normal vorticity fluctuations. The condition for the SR emergence is similar to that of a dynamical system where the presence of a chaotic attractor, limit cycle, and external white noise are necessary. This similarity is confirmed by presenting a phase portrait in two subregions of the transition regime. In the upper subregion at Wi > 400 , the periodic spikes disappear and E w becomes chaotic with a large intensity elastic wave sufficient to self-organize and synchronize the streaks into cycles and to amplify the wall normal vorticity, according to a recently proposed mechanism of vortex-wave interactions.
Source: Physical Review Research
Authors: Yuke Li, Victor Steinberg
Institutions: Harbin Engineering University, Weizmann Institute of Science
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,625
Awards: G1858327371, G8196451046
OpenAlex ID: W4405278243
