Presentation Details
Viscoplastic reduced order homogenization using mixed formulations
Wednesday, 11 Oct 2017; 11:10 - 11:30 in room 7.02
In Session:
MS16-1: Reduced Order Models for Multiscale and Multiphysics Problems (Show complete Mini Symposium)
Wednesday, 11 Oct 2017; 10:30 - 12:30 in room 7.02
Show complete Session
1st and presenting Author
Federica Covezzi
Department of Civil, Chemical, Environmental and Material Engineering
University of Bologna
Bologna, Italy
Department of Civil, Chemical, Environmental and Material Engineering
University of Bologna
Bologna, Italy
2nd Author
Stefano de Miranda
Department of Civil, Chemical, Environmental and Material Engineering
University of Bologna
Bologna, Italy
Department of Civil, Chemical, Environmental and Material Engineering
University of Bologna
Bologna, Italy
3rd Author
Felix Fritzen
EMMA - Efficient Methods for Mechanical Analysis, Institute of Applied Mechanics (CE)
University of Stuttgart
Stuttgart, Germany
EMMA - Efficient Methods for Mechanical Analysis, Institute of Applied Mechanics (CE)
University of Stuttgart
Stuttgart, Germany
4th Author
Sonia Marfia
Department of Civil and Mechanical Engineering
University of Cassino and of Southern Lazio
Cassino, Italy
Department of Civil and Mechanical Engineering
University of Cassino and of Southern Lazio
Cassino, Italy
5th Author
Elio Sacco
Department of Civil and Mechanical Engineering
University of Cassino and of Southern Lazio
Cassino, Italy
Department of Civil and Mechanical Engineering
University of Cassino and of Southern Lazio
Cassino, Italy
Micro Abstract:
The effective response of viscoplastic composites is studied by means of two reduced order models that use a mixed variational formulation developed in the framework of the Transformation Field Analysis : the pRBMOR and the MxTFA. The MxTFA is based on a mixed variational formulation of viscoplasticity involving stress and plastic multiplier as independent variables, while the pRBMOR assumes non uniform inelastic strain and hardening modes. Examples show the capabilities of the two approaches.