Stochastic modeling of a class of stored energy functions for incompressible hyperelastic materials with uncertainties

B Staber (1) , J Guilleminot (1)

1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle

In this Note, we address the construction of a class of stochastic Ogden's stored energy functions associated with incompressible hyperelastic materials. The methodology relies on the maximum entropy principle, which is formulated under constraints arising in part from existence theorems in nonlinear elasticity. More specifically, constraints related to both polyconvexity and consistency with linearized elasticity are considered and potentially coupled with a constraint on the mean function. Two parametric probabilistic models are thus derived for the isotropic case and rely in part on a conditioning with respect to the random shear modulus. Monte Carlo simulations involving classical (e.g. Neo-Hookean or Mooney-Rivlin) stored energy functions are then performed in order to illustrate some capabilities of the probabilistic models. An inverse calibration involving experimental results is finally presented.

Mots clés: Maximum entropy principle; stochastic modeling; hyperelasticity; stored energy functions; polyconvexity; uncertainties

Domaines: Probabilités [math.PR]; Mécanique [physics]; Matériaux; Mécanique des matériaux [physics.class-ph]

B Staber, J Guilleminot. Stochastic modeling of a class of stored energy functions for incompressible hyperelastic materials with uncertainties. Comptes Rendus Mécanique, 2015, ⟨10.1016/j.crme.2015.07.008⟩. ⟨hal-01223820⟩