Plane Wave Propagation in Random Granular Media

Abstract

A Markov property of disturbance propagation forms the basis for a study of wavefronts in graph representable microstructures. Stochastic Huygens' minor principle is developed to analyze wavefront propagation in 1-D, 2-D, and 3-D models of material microstructures. A diffusion approximation is obtained for microstructures with grains described by piecewise linear constitutive laws. A new general method of solution to transient wave problems in such microstructures is developed. The method uses solutions from deterministic problems as a reference basis for an analysis of field fluctuations and scatter in stochastic media. The wavefront is modeled as a random field in space-time governed by a Markovian propagator. Explicit formulas for random arrivals in space-time and random modulation of pulses are obtained from this diffusion approximation. The key coefficients appearing in these formulas are calculated in the dimensionless setting of a 1-D linear elastic setting for a wide range of statistics of material properties. Finally, a local averaging process is proposed to obtain various smoothing approximations of this random field.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1992
Accession Number
ADA247300

Entities

People

  • Martin Ostoja-starzewski

Organizations

  • Purdue University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Engineers
  • Fokker Planck Equations
  • Markov Processes
  • Materials
  • Materials Science
  • Mechanics
  • Modulus Of Elasticity
  • New York
  • Numbers
  • Phase Velocity
  • Physical Properties
  • Physics Laboratories
  • Plane Waves
  • Random Variables
  • Stochastic Processes
  • Three Dimensional
  • Wave Propagation

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Calculus or Mathematical Analysis
  • Statistical inference.

Technology Areas

  • Space