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Influence of Boundary Conditions on Numerical Homogenization of High Performance Concrete
Arkadiusz Denisiewicz1, Mieczysław Kuczma2, Krzysztof Kula1
1Division of Structural Mechanics, University of Zielona Góra, ul. Prof. Z. Szafrana 1, 65-246 Zielona Góra, Poland.
This study compares computational modeling and lab tests of high-performance concrete (HPC). Numerical simulations using finite element methods and experimental data show good agreement for HPC properties, including damage and failure.
Area of Science:
- Materials Science
- Civil Engineering
- Computational Mechanics
Background:
- Concrete is a ubiquitous construction material.
- High-performance concrete (HPC) offers enhanced functionality and sustainability over normal concrete.
- Understanding HPC behavior requires advanced modeling and experimental validation.
Purpose of the Study:
- To investigate the influence of boundary conditions on numerical homogenization of HPC properties.
- To compare computational modeling results with experimental data for HPC.
- To analyze the softening behavior and failure mechanisms of HPC.
Main Methods:
- Utilized the finite element method (FEM) with a two-dimensional representative volume element (RVE) for HPC microstructure.
- Employed stochastic methods for RVE generation and various constitutive models (elastic, elastic-plastic, concrete damage plasticity).
- Performed numerical simulations using Abaqus, custom Python FEM programs, and the Homtools homogenization toolbox, comparing results with experimental data.
Main Results:
- Numerical simulations accurately predicted HPC properties when accounting for damage and softening.
- Different boundary conditions (linear displacement, uniform traction, periodic) showed varying impacts on calculated HPC properties.
- The study achieved good agreement between numerical results and experimental data from the literature and the authors' own tests.
Conclusions:
- Computational modeling, particularly FEM with appropriate constitutive models and boundary conditions, is effective for predicting HPC behavior.
- The developed approach accurately captures the nonlinear response, damage, and failure of HPC.
- This research validates the use of numerical homogenization for characterizing HPC properties.
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