Genetic Algorithm Optimization of Phononic Bandgap Structures

Abstract

This report describes the use of genetic algorithms (GAs) for the optimal design of phononic bandgaps in periodic elastic two phase media. In particular, we link a GA with a computational finite element method for solving the acoustic wave equation, and find optimal designs for both metal-matrix composite systems consisting of Ti/SiC, and H2O-filled porous ceramic media, by maximizing the relative acoustic bandgap for these media. The term acoustic here implies that, for simplicity, only dilatational wave propagation is considered, although this is not an essential limitation of the method. The inclusion material is found to have a lower longitudinal modulus (and lower wave speed) than the surrounding matrix material, a result consistent with observations that stronger scattering is observed if the inclusion material has a lower wave velocity than the matrix material.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADA456655

Entities

People

  • Anuraag Mohan
  • Daniel S. Weile
  • George A. Gazonas
  • Raymond Wildman

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acoustic Waves
  • Algorithms
  • Band Structures
  • Composite Materials
  • Computational Science
  • Differential Equations
  • Elastic Waves
  • Equations
  • Finite Element Analysis
  • Genetic Algorithms
  • Materials
  • Mechanics
  • Military Research
  • Simplex Method
  • Two Dimensional
  • Wave Equations
  • Wave Propagation

Readers

  • Operations Research
  • Reinforced Composite Materials
  • Structural Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Biotechnology