Reliability analysis of carbon nanotubes using molecular dynamics with the aid of grid computing

Shaoping Xiao, Shaowen Wang, Jun Ni, Ransom Briggs, Maciej Rysz

Research output: Contribution to journalArticlepeer-review

Abstract

The first molecular dynamics simulation-based reliability analysis of carbon nanotubes is conducted in this paper. Instead of uncertainties of loads, we consider uncertainties of defects, especially vacancies, at the nanoscale in our modeling and simulation. A spatial Poisson point process is employed to assist randomly locating vacancies on the surface of nanotubes. With the aid of Grid computing technologies, a large number of molecular dynamic simulations are conducted to obtain statistical properties of nanotube strength and stress for reliability analysis. Reliabilities of nanotubes at various temperatures are also discussed.

Original languageEnglish (US)
Pages (from-to)528-534
Number of pages7
JournalJournal of Computational and Theoretical Nanoscience
Volume5
Issue number4
DOIs
StatePublished - Apr 2008
Externally publishedYes

Keywords

  • Defects
  • Grid computing
  • Nanotube
  • Realibility

ASJC Scopus subject areas

  • Chemistry(all)
  • Materials Science(all)
  • Condensed Matter Physics
  • Computational Mathematics
  • Electrical and Electronic Engineering

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