Multiscale Modeling for the Design of Autonomic Healing Structural Composite Materials (MEANS)

Abstract

We developed a suite of molecular-scale simulation tools, which includes all-atom MD simulations and coarse-graining procedures to interface with CVFE calculations at the continuum level. Polymerization reaction mechanisms and rates are identified in all-atom simulations. A first coarse-graining procedure consists of eliminating atoms that are unimportant for the mechanical properties of the structure. In a second coarse-graining procedure representation of monomers is simplified to spherically symmetric particles. This allows one to generate large-scale realistic polymer networks and predict the mechanical properties of polymer structures with specific chemistries. This computational approach was validated by studying polymerization of DCPD under strain. Conclusions are: (i) the numerical acceleration of the reaction and transport processes does not alter the network structure; (ii) the mechanical properties are independent of the catalyst concentration and reaction rates; (iii) reproducing the underlying reaction mechanisms correctly at the molecular level is essential to generating realistic network structures and predicting materials properties.

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Document Details

Document Type
Technical Report
Publication Date
Jun 25, 2006
Accession Number
ADA462805

Entities

People

  • John Kieffer

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Catalysts
  • Chemistry
  • Composite Materials
  • Computational Science
  • Elastic Properties
  • Materials
  • Materials Science
  • Mechanical Properties
  • Mechanical Working
  • Modulus Of Elasticity
  • Molecular Dynamics
  • Molecular Electronics
  • Multiscale Modeling
  • Particles
  • Reaction Mechanisms
  • Simulations
  • Topology

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Quantum Chemistry
  • Systems Analysis and Design