Multiscale Modeling for the Design of Autonomic Healing Structural Composite Materials

Abstract

This MEANS initiative research project consists of a collaborative effort between students, postdocs, and faculty at the University of Illinois and at the University of Michigan. The work involves the integration of length and time scale spanning computational methods of investigation into a suite of design tool for materials optimization. Concurrent experimental measurements serve to motivate and validate the simulation approaches. Specifically, the challenges posed by the design of autonomously healing polymer matrix composites were chosen as the test case for the development of this computational framework, which includes reactive molecular dynamics simulations, coarse-grained particle-based simulations, and cohesive-volume finite element calculations. The integration of the different methodologies is achieved through data exchange and output overlap matching. The project includes further development of specific numerical techniques, implementation of an efficient coupling mechanism, and extensive testing and validation through experiments.

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Document Details

Document Type
Technical Report
Publication Date
Aug 31, 2004
Accession Number
ADA430923

Entities

People

  • John Kieffer

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Composite Materials
  • Dynamics
  • Materials
  • Materials Science
  • Materials Testing
  • Mechanical Properties
  • Mechanics
  • Molecular Dynamics
  • Multiscale Modeling
  • Particles
  • Polymer Matrix Composites
  • Simulations

Readers

  • Computational Modeling and Simulation
  • Distributed Systems and Data Platform Development
  • Research Science/Academic Research