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Rupture of graphene sheets with randomly distributed defects

Department of Materials Science and Engineering, WW8 – Materials Simulation, Friedrich- Alexander University Erlangen-Nürnberg, Dr.-Mack-Strasse 77, 90762 Fürth, Germany

Special Issues: Interaction of Multiple Cracks in Materials -Volume 1

We use atomistic simulation (molecular mechanics and molecular dynamics) to investigate failure of graphene sheets containing randomly distributed vacancies. We investigate the dependency of the failure stress on defect concentration and sheet size and show that our findings are consistent with the Duxbury-Leath-Beale (DLB) theory of mechanical or electric breakdown in random media. The corresponding distribution of failure stresses falls into the Gumbel, rather than the Weibull class of extremal statistics. By comparing molecular mechanics and zero-temperature molecular dynamics simulations we establish the role of kinetic energy in crack propagation and its impact on crack patterns emerging before sheet rupture.
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Keywords graphene; fracture; microcracks; disordered media; extremal statistics

Citation: Samaneh Nasiri, Michael Zaiser. Rupture of graphene sheets with randomly distributed defects. AIMS Materials Science, 2016, 3(4): 1340-1349. doi: 10.3934/matersci.2016.4.1340

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This article has been cited by

  • 1. Mobin Shakeri, Effect of randomly distributed asymmetric stone-wales defect on electronic and transport properties of armchair graphene nanoribbon, Superlattices and Microstructures, 2019, 128, 116, 10.1016/j.spmi.2019.01.019
  • 2. Samaneh Nasiri, Kai Wang, Mingjun Yang, Qianqian Li, Michael Zaiser, Nickel coated carbon nanotubes in aluminum matrix composites: a multiscale simulation study, The European Physical Journal B, 2019, 92, 8, 10.1140/epjb/e2019-100243-6

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Copyright Info: 2016, Michael Zaiser, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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