Multi-scale damage model of fiber-reinforced concrete with parameter identification

Abstract : In this thesis, several approaches for modeling fiber-reinforced composites are proposed. The material under consideration is fiber-reinforced concrete, which is composed of a few constituents: concrete, short steel fibers, and the interface between them. The behavior of concrete is described by a damage model with localized failure, fibers are taken to be linear elastic, and the behavior of the interface is modeled with a bond-slip pull-out law. A multi-scale approach for coupling all the constituents is proposed, where the macro-scale computation is carried out using the operator-split solution procedure. This partitioned approach divides the computation in two phases, global and local, where different failure mechanisms are treated separately, which is in accordance with the experimentally observed composite behavior. An inverse model for fiber-reinforced concrete is presented, where the stochastic caracterization of the fibers is known from their distribution inside the domain. Parameter identification is performed by minimizing the error between the computed and measured values. The proposed models are validated through numerical examples.
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Tea Rukavina. Multi-scale damage model of fiber-reinforced concrete with parameter identification. Mechanics [physics.med-ph]. Université de Technologie de Compiègne; University of Rijeka, 2018. English. ⟨NNT : 2018COMP2460⟩. ⟨tel-02133675⟩

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