Abstract
This paper presents a novel mesoscale finite element model for predicting the effective mechanical properties of concrete-like particle-reinforced composites with concave aggregates. In the mesoscale model, unit cells (UC) with randomly distributed non-convex particles and period boundaries are generated through computationally efficient algorithms to represent the periodic microstructures of concrete composites. Numerical homogenization is performed to calculate the effective mechanical parameters based on an unsorted node set technique. The results predicted by the proposed model show good agreement with the experimental measurements. The parametric study also indicates that UC models with periodic placement of particles at the boarders yield higher elastic modulus compared with those without periodic boundary particle placement, and the influence of boarder particles on homogenized material properties decreases as the UC size increases. Moreover, computational studies show that the elastic moduli of composites consisting of concavity particles are larger than those with the round and smooth particles given the same particle volume fraction. The proposed mesoscale modeling approach can serve as an easy and fast tool in assisting the design and optimization of strong, light-weight and reliable particle-reinforced composites.
Published Version
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