Modeling and simulations of a nonlinear granular metamaterial: application to geometric phase-based mass sensing

M. Arif Hasan, Pierre A. Deymier

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Dynamical simulations of an externally harmonically driven model granular metamaterial composed of four linearly and nonlinearly coupled granules show that the nonlinear normal mode can be expressed in a linear normal mode orthonormal basis with time dependent complex coefficients. These coefficients form the components of a state vector that spans a 22 dimensional Hilbert space parametrically with time. Local π jumps in the phase of these components occurring periodically are indicative of topological features in the manifold spanned by the geometric phase of the vibrational state of the metamaterial. We demonstrate that these topological features can be exploited to realize high sensitivity mass sensor. The effect of dissipation on sensitivity is also reported. Nonlinear granular metamaterials with very low dissipation could serve as mass sensors with considerable sensitivity to small mass changes via large changes in geometric phase.

Original languageEnglish (US)
Article number074002
JournalModelling and Simulation in Materials Science and Engineering
Volume30
Issue number7
DOIs
StatePublished - Oct 2022

Keywords

  • Hilbert space
  • geometric phase
  • granular metamaterial
  • nonlinear normal mode
  • phase-based mass sensor

ASJC Scopus subject areas

  • Modeling and Simulation
  • General Materials Science
  • Condensed Matter Physics
  • Mechanics of Materials
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Modeling and simulations of a nonlinear granular metamaterial: application to geometric phase-based mass sensing'. Together they form a unique fingerprint.

Cite this