Tuning frequency band gaps of tensegrity mass-spring chains with local and global prestress

Ada Amendola*, Anastasiia Krushynska, Chiara Daraio, Nicola M. Pugno, Fernando Fraternali

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

79 Citations (Scopus)

Abstract

This work studies the acoustic band structure of tensegrity mass-spring chains, and the possibility to tune the dispersion relation of such systems by suitably varying local and global prestress variables. Building on established results of the Bloch-Floquet theory, the paper first investigates the linearized response of chains composed of tensegrity units and lumped masses, which undergo small oscillations around an initial equilibrium state. The stiffness of the units in such a state varies with an internal self-stress induced by prestretching the cables forming the tensegrity units, and the global prestress induced by the application of compression forces to the terminal bases. The given results show that frequency band gaps of monoatomic and biatomic chains can be effectively altered by the fine tuning of local and global prestress parameters, while keeping material properties unchanged. Numerical results on the wave dynamics of chains under moderately large displacements confirm the presence of frequency band gaps of the examined systems in the elastically hardening regime. Novel engineering uses of the examined systems are discussed. (C) 2018 Elsevier Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)47-56
Number of pages10
JournalInternational Journal of Solids and Structures
Volume155
DOIs
Publication statusPublished - 15-Dec-2018
Externally publishedYes

Keywords

  • Tensegrity lattice
  • Band gaps
  • Prestress
  • Wave attenuation
  • Monoatomic
  • Biatomic
  • Tunability
  • DYNAMICS
  • BEHAVIOR
  • SOUND

Fingerprint

Dive into the research topics of 'Tuning frequency band gaps of tensegrity mass-spring chains with local and global prestress'. Together they form a unique fingerprint.

Cite this