Shear Wave-Induced Friction at Periodic Interfaces for Programmable Mechanical Responses

Ganesh U. Patil, Alfredo Fantetti, Kathryn H. Matlack

Research output: Contribution to journalArticlepeer-review


Nonlinear phononic materials enable superior wave responses by combining nonlinearity with their inherent periodicity, creating opportunities for the development of novel acoustic devices. However, the field has largely focused on reversible nonlinearities, whereas the role of hysteretic nonlinearity remains unexplored. In this work, we investigate nonlinear shear wave responses arising from the hysteretic nonlinearity of frictional rough contacts, and harness these responses to enable programmable functions. By using a numerical approach, we solve the strongly nonlinear problem of shear wave propagation through a single contact and a periodic array of contacts, accounting for frictional effects. Specifically, the Jenkin friction model with experimentally obtained properties is used to capture the effects of stick–slip transition at the contacts. Results show that friction gives rise to shear-polarized eigenstrains, which are residual static deformations within the system. We then demonstrate how eigenstrain generation in multiple contacts can enable programmable functionalities such as an acoustically controlled mechanical switch, precision position control, and surface reconfigurability. Overall, our findings open new avenues for designing smart materials and devices with advanced functionalities via acoustic waves using the hysteretic nonlinearity of frictional contacts.

Original languageEnglish (US)
Article number091002
JournalJournal of Applied Mechanics, Transactions ASME
Issue number9
StatePublished - Sep 2023
Externally publishedYes


  • friction
  • hysteresis
  • mechanical programmability
  • phononic materials
  • wave propagation

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering


Dive into the research topics of 'Shear Wave-Induced Friction at Periodic Interfaces for Programmable Mechanical Responses'. Together they form a unique fingerprint.

Cite this