Skip to main navigation Skip to search Skip to main content

Possibility of useful mechanical energy from noise: the solitary wave train problem in the granular chain revisited

  • SUNY Buffalo
  • Massachusetts Institute of Technology

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

A momentary velocity perturbation at an edge of a granular chain with the grains barely touching one another and held between fixed walls propagates as a solitary wave whereas a long lived perturbation, even if it is noisy, ends up as a solitary wave train. Here, we extend our earlier work but with a force instead of a velocity perturbation. Such a perturbation can propagate an extended compression front into the system. We find that a snapshot of the distribution of grain compressions in the solitary wave train shows parabolic as opposed to an approximate exponential decay with the leading edge at the front of the traveling pulse and the trailing edge following it. The system’s time evolution depends on three independent parameters-the material properties, duration of perturbation and the characteristic amplitude of the perturbation. Hence, the coefficients used to describe the parabolic decay of the grain compressions in the solitary wave train depend on these three parameters. When a random finite duration force perturbation is applied we find that the randomness is smoothed out by the system, which in turn suggests that long granular chains (or equivalent systems, such as circuits) can be potentially useful in converting random noisy signals to organized solitary wave trains and hence to potentially usable energy.

Original languageEnglish
Article number42
JournalGranular Matter
Volume20
Issue number3
DOIs
StatePublished - Aug 1 2018

Keywords

  • Granular chains
  • Nonlinear dynamics
  • Solitary wave trains

Fingerprint

Dive into the research topics of 'Possibility of useful mechanical energy from noise: the solitary wave train problem in the granular chain revisited'. Together they form a unique fingerprint.

Cite this