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Non-intrusive data learning based computational homogenization of materials with uncertainties

  • Nawfal BlalEmail author
  • Anthony Gravouil
Original Paper

Abstract

This paper is devoted to the study of the influence of variabilities and uncertainties when homogenizing the effective behavior of elastic heterogeneous media. A new non-intrusive approach is proposed connecting computational homogenization schemes and reduced order models. The effect of the local material variabilities and uncertainties on the overall behavior is studied using a high dimensional parametric approach.

Keywords

Computational homogenization VAMUCH Reduced order model Material uncertainties 

Notes

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Univ Lyon, INSA-Lyon, CNRS UMR5259, LaMCoSVilleurbanneFrance

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