Mechanical properties of graphene papers

  • Yilun Liu
  • , Bo Xie
  • , Zhong Zhang
  • , Quanshui Zheng
  • , Zhiping Xu

Research output: Contribution to journalArticlepeer-review

264 Scopus citations

Abstract

Graphene-based paper materials attract particular interests recently owing to their outstanding properties, the key of which is their layer-by-layer hierarchical structures similar to many biological materials such as bone, teeth and nacre, combining intralayer strong sp 2 bonds and interlayer crosslinks for efficient load transfer. Here we firstly study the mechanical properties of various interlayer and intralayer crosslinks through first-principles calculations, and then perform continuum model analysis for the overall mechanical properties of graphene-based paper materials. We find that there is a characteristic length scale l 0, defined as D h0/4G, where D is the stiffness of the graphene sheet, h 0 and G are height of interlayer crosslink and shear modulus respectively. When the size of the graphene sheets exceeds 3l 0, the tensionshear (TS) chain model, which is widely used for nanocomposites, fails to predict the overall mechanical properties of the graphene-based papers. Instead we proposed here a deformable tensionshear (DTS) model by considering elastic deformation of graphene sheets, also the interlayer and intralayer crosslinks. The DTS is then applied to predict the mechanical properties of graphene papers under tensile loading. According to the results we thus obtain, optimal design strategies are proposed for graphene papers with ultrahigh stiffness, strength and toughness.

Original languageEnglish
Pages (from-to)591-605
Number of pages15
JournalJournal of the Mechanics and Physics of Solids
Volume60
Issue number4
DOIs
StatePublished - Apr 2012
Externally publishedYes

Keywords

  • Crosslink
  • Deformable tensionshear model
  • First-principles calculations
  • Graphene paper
  • Mechanical properties

Fingerprint

Dive into the research topics of 'Mechanical properties of graphene papers'. Together they form a unique fingerprint.

Cite this