Perturbation stochastic finite element-based homogenization of polycrystalline materials

Severine Lepage, Fernando V. Stump, Isaiah H. Kim, Philippe H. Geubelle

Research output: Contribution to journalArticlepeer-review


This work presents a study of the influence on the macroscopic (homogenized) elastic properties of polycrystalline materials induced by uncertainties in the material texture and microstructure geometry. Since many microelectromechanical systems are made of materials deposited as thin films with <111> fiber texture, we study the variance of the homogenized elastic properties of the material around its nominal <111> texture. To perform this analysis, the perturbation stochastic finite element method (PSFEM) is coupled to the mathematical theory of homogenization leading to a second-order perturbation-based homogenization method. This method is able to evaluate the mean and variance of a given homogenized property as a function of the grain property uncertainty. The multiscale formulation is implemented in a plane-stress linear elastic finite element framework based on a multigrain periodic unit cell generated by Voronoi tessellation. This perturbation-based homogenization method is verified against Monte Carlo simulations, showing its effectiveness and limitations. Then, through applications, it is evaluated how different levels of uncertainty in grains induce uncertainty in the macroscopic elastic properties of the polycrystalline material. In particular, the influence of the unit cell is studied. Finally, by coupling the PSFEM with the Monte Carlo method, the effects on the macroscopic properties of uncertainty of both the geometry and orientation of the grains is estimated.

Original languageEnglish (US)
Pages (from-to)1153-1170
Number of pages18
JournalJournal of Mechanics of Materials and Structures
Issue number7-8
StatePublished - Dec 2011


  • Homogenization
  • Monte Carlo method
  • Perturbation stochastic finite element
  • Polycrystalline material

ASJC Scopus subject areas

  • Mechanics of Materials
  • Applied Mathematics


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