Shock Mitigation with Ordered Microscale Granular Media

Abstract

The objective of this ARO Young Investigator Program proposal is to utilize a combined theoretical, computational, and experimental approach to study high strain rate shock wave propagation in, and the resulting failure of, self-assembled, three-dimensional ordered micro- to nanoscale (100 um to 100 nm) granular media. This combined approach includes nonlinear contact mechanics-based analytical models, discrete element model simulations, and experimental ultrafast photoacoustic pump-probe techniques. While granular materials are known to be highly effective at absorbing shocks from blast and impact, because of the material complexity, many fundamental questions remain open regarding the mechanisms that lead to their shock absorption properties and ultimate failure. This is in part because previous studies have focused on highly complex disordered granular materials (macro- and microscales) or ordered macroscale granular media (which do not take into account critical effects such as the role of interparticle adhesive forces). The proposed approach of simplifying the problem via ordered granular media, while maintaining relevance via micro- to nanoscale grains, is a dramatic shift from previous approaches that will lead to a birth of understanding of the dynamics of granular media and transform the way granular media is studied.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2018
Accession Number
AD1110975

Entities

People

  • Nicholas Boechler

Organizations

  • University of Washington

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acoustic Waves
  • Acoustics
  • Doppler Effect
  • Electron Microscopes
  • Failure Mode And Effect Analysis
  • Manufacturing
  • Materials Science
  • Mechanical Engineering
  • Mechanics
  • Microscopes
  • Optics
  • Resonant Frequency
  • Scanning Electron Microscopes
  • Surface Acoustic Waves
  • Three Dimensional
  • Two Dimensional
  • Wave Propagation

Readers

  • Computational Fluid Dynamics (CFD)
  • Thin Film Deposition Science.