Monte Carlo study of rubber elasticity on the basis of finsler geometry modeling

Hiroshi Koibuchi, Chrystelle Bernard, Jean Marc Chenal, Gildas Diguet, Gael Sebald, Jean Yves Cavaille, Toshiyuki Takagi, Laurent Chazeau

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Configurations of the polymer state in rubbers, such as so-called isotropic (random) and anisotropic (almost aligned) states, are symmetric/asymmetric under space rotations. In this paper, we present numerical data obtained by Monte Carlo simulations of a model for rubber formulations to compare these predictions with the reported experimental stress-strain curves. The model is defined by extending the two-dimensional surface model of Helfrich-Polyakov based on the Finsler geometry description. In the Finsler geometry model, the directional degree of freedom σ→ of the polymers and the polymer position r are assumed to be the dynamical variables, and these two variables play an important role in the modeling of rubber elasticity. We find that the simulated stresses τsim are in good agreement with the reported experimental stresses τexp for large strains of up to 1200%. It should be emphasized that the stress-strain curves are directly calculated from the Finsler geometry model Hamiltonian and its partition function, and this technique is in sharp contrast to the standard technique in which affine deformation is assumed. It is also shown that the obtained results are qualitatively consistent with the experimental data as influenced by strain-induced crystallization and the presence of fillers, though the real strain-induced crystallization is a time-dependent phenomenon in general.

Original languageEnglish
Article number1124
Issue number9
Publication statusPublished - 2019


  • Finsler geometry
  • Mathematical modeling
  • Monte Carlo
  • Rubber elasticity
  • Statistical mechanics
  • Strain induced crystallization
  • Stress strain curves


Dive into the research topics of 'Monte Carlo study of rubber elasticity on the basis of finsler geometry modeling'. Together they form a unique fingerprint.

Cite this