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Magnetically Induced Rotating Rayleigh-Taylor Instability
Published on: March 3, 2017
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Triggering avalanches by transverse perturbations in a rotating drum
Vicente Salinas1, Cristóbal Quiñinao2, Sebastián González3
1Instituto de Ciencias Químicas Aplicadas, Facultad de Ingeniería, Universidad Autónoma de Chile, Santiago, Chile.
Scientific Reports
|July 7, 2021
Summary
Small vibrations trigger avalanches in rotating drums. The study reveals kinetic energy as the key parameter, with oscillation amplitude governing avalanche onset at high frequencies, explained by a Hopf bifurcation model.
Area of Science:
- Physics
- Complex Systems
- Nonlinear Dynamics
Background:
- Avalanches in granular materials are often studied in rotating drum systems.
- The stick-slip regime in such systems is characterized by intermittent motion.
- Understanding the triggers for avalanche onset is crucial for granular flow dynamics.
Purpose of the Study:
- To investigate the role of small-scale perturbations in initiating avalanches.
- To identify the appropriate order parameter for describing the system's behavior.
- To determine the governing parameter for avalanche onset under specific conditions.
Main Methods:
- Utilizing a rotating drum system operating in the stick-slip regime.
- Applying small-amplitude vibrations along the axis of rotation.
- Analyzing the system's dynamics using kinetic energy as the order parameter.
- Developing a theoretical model based on supercritical Hopf bifurcation.
Main Results:
- Kinetic energy is identified as the order parameter describing the system.
- Avalanche onset is governed by oscillation amplitude at high frequencies, challenging previous findings.
- A theoretical model successfully explains the transition between continuous and discrete avalanche regimes.
Conclusions:
- Small-scale vibrations, specifically oscillation amplitude at high frequencies, are critical for triggering avalanches.
- The system's behavior transitions between continuous and discrete regimes via a supercritical Hopf bifurcation.
- This research provides new insights into granular flow control and predictability.
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