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Detailed structural analysis for fiber-reinforced polymer with singularities via FETI domain decomposition

  • Du Hyun Gong
  • , Seung Hoon Kang
  • , Hyun Shig Joo
  • , Haeseong Cho
  • , Taeyoung Chun
  • , Sang Joon Shin*
  • *Corresponding author for this work
  • Seoul National University
  • Innovative Machinery Systems Research Department
  • Mechanical RD

Research output: Contribution to journalJournal articlepeer-review

Abstract

The conventional representative volume element approach may not be accurate enough in examining stress distribution near singularity in a composite. However, enormous number of degrees of freedom (DOFs) is usually required to discretize the subcomponents within the composite structure; hence, it may not be handled in a single CPU. In this study, the finite element tearing and interconnecting algorithm, a domain decomposition method, is proposed to address the challenges posed by such enormous number of DOFs via parallel computation. Owing to the message passing interface, analyses in this study will be conducted on the parallel computing environment. Furthermore, the METIS algorithm is adopted to automatically divide the solid domain into certain number of subdomains. Consequently, the fiber-reinforced polymer which possesses either a crack or notch discretized by over 10 million DOFs will be readily analyzed. The computational time is reduced significantly compared against the original one. Also, the stress and stiffness predictions show good agreement with those by the other existing analyses or experiments. Therefore, this study is expected to be fast and accurate in analyzing composite structures with enormous number of DOFs.

Original languageEnglish
Pages (from-to)1753-1764
Number of pages12
JournalJournal of Composite Materials
Volume56
Issue number11
DOIs
StatePublished - 2022.06

Keywords

  • Composites
  • extended finite element method
  • multiscale
  • parallelization

Quacquarelli Symonds(QS) Subject Topics

  • Engineering - Mechanical
  • Materials Science

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