Wave Propagation in Anisotropic Medium Due to an Oscillatory Point Source With Application to Unidirectional Composites.

Abstract

The far field displacements in an infinite transversely isotropic elastic medium subjected to an oscillatory concentrated force are derived. The concepts of velocity surface, slowness surface and wave surface are used to describe the geometry of the wave propagation process. It is shown that the decay of the wave amplitudes depends not only on the distance from the source (as in isotropic media) but also depends on the direction of the point of interest from the source. As an example, the displacement field is computed for a laboratory fabricated unidirectional fiberglass epoxy composite. The solution for the displacements is expressed as an amplitude distribution and is presented in polar diagrams. This analysis has potential usefulness in the acoustic emission (AE) and ultrasonic nondestructive evaluation of composite materials. For example, the transient localized disturbances which are generally associated with AE sources can be modeled via this analysis. In which case, knowledge of the displacement field which arrives at a receiving transducer allows inferences regarding the strength and orientation of the source, and consequently perhaps the degree of damage within the composite.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1986
Accession Number
ADA301918

Entities

People

  • Elizabeth R. Marques
  • James H. Williams Jr.
  • Samson S. Lee

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Acoustic Emissions
  • Cartesian Coordinates
  • Composite Materials
  • Coordinate Systems
  • Elastic Properties
  • Epoxy Composites
  • Equations
  • Equations Of Motion
  • Frequency
  • Geometry
  • Group Velocity
  • Materials
  • Phase Velocity
  • Plane Waves
  • Secondary Waves
  • Stress Waves
  • Wave Propagation

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Mechanical Engineering/Mechanics of Materials.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference