• Title of article

    Computational modeling of nano-structured glass fibers

  • Author/Authors

    Alavinasab، نويسنده , , A. and Jha، نويسنده , , R. and Ahmadi، نويسنده , , G. and Cetinkaya، نويسنده , , C. and Sokolov، نويسنده , , I.، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2008
  • Pages
    6
  • From page
    622
  • To page
    627
  • Abstract
    Computational modeling of glass (silica) fibers having micro-scale outer dimensions and nano-scale internal structures was performed to assess its mechanical behavior. Self-assembly technique was used to synthesize the individual fibers of approximately 5 μm in length with a hexagonal cross-section (2 μm between two opposite sides) and honeycomb-like internal nano-structures. These fibers have several potential applications including synthesis of multifunctional composite materials. Numerical modeling of the individual fibers was performed using continuum mechanics based approach wherein linear elastic elements were utilized within a commercial finite element (FE) analysis package. A representative volume element approach was adopted for computational efficiency. Appropriate loads and boundary conditions were used to derive stress–strain relationship (stiffness matrix) which has six independent constants for the individual fiber. Force–displacement relationships under simulated nanoindentation were obtained for the actual fiber (with six independent constants) and under transversely isotropic approximation. The contact problem was solved for the transversely isotropic case, which indicates a much stiffer fiber compared to the FE predictions. This difference is likely due to the geometric nonlinearity considered in FE analysis yielding accurate results for large displacements.
  • Keywords
    Nano-structures , Adaptive meshing , Constitutive relations , Contact modeling , finite element modeling , Representative volume element
  • Journal title
    Computational Materials Science
  • Serial Year
    2008
  • Journal title
    Computational Materials Science
  • Record number

    1684110