Coupled systems mechanics

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Meso-scale based parameter identification for 3D concrete plasticity model

  • Suljevic, Samir (Universite de Technologie de Compiegne, Laboratoire Roberval de Mecanique, Centre de Recherche Royallieu) ;
  • Ibrahimbegovic, Adnan (Universite de Technologie de Compiegne, Laboratoire Roberval de Mecanique, Centre de Recherche Royallieu) ;
  • Karavelic, Emir (Faculty of Civil Engineering, University of Sarajevo) ;
  • Dolarevic, Samir (Faculty of Civil Engineering, University of Sarajevo)
  • Received : 2021.12.09
  • Accepted : 2021.12.29
  • Published : 2022.02.25
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Abstract

The main aim of this paper is the identification of the model parameters for the constitutive model of concrete and concrete-like materials capable of representing full set of 3D failure mechanisms under various stress states. Identification procedure is performed taking into account multi-scale character of concrete as a structural material. In that sense, macro-scale model is used as a model on which the identification procedure is based, while multi-scale model which assume strong coupling between coarse and fine scale is used for numerical simulation of experimental results. Since concrete possess a few clearly distinguished phases in process of deformation until failure, macro-scale model contains practically all important ingredients to include both bulk dissipation and surface dissipation. On the other side, multi-scale model consisted of an assembly micro-scale elements perfectly fitted into macro-scale elements domain describes localized failure through the implementation of embedded strong discontinuity. This corresponds to surface dissipation in macro-scale model which is described by practically the same approach. Identification procedure is divided into three completely separate stages to utilize the fact that all material parameters of macro-scale model have clear physical interpretation. In this way, computational cost is significantly reduced as solving three simpler identification steps in a batch form is much more efficient than the dealing with the full-scale problem. Since complexity of identification procedure primarily depends on the choice of either experimental or numerical setup, several numerical examples capable of representing both homogeneous and heterogeneous stress state are performed to illustrate performance of the proposed methodology.

Keywords

Acknowledgement

This work was supported by funding from ANR (project SELF-TUM), MEAE (project CESPA) and IUF (project MS1479). Samir Suljevic also acknowledges the French Embassy in Bosnia and Herzegovina scholarship for doctoral studies in France. All this support is gratefully acknowledged.

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