In this paper we present a computational framework for generating a realistic representative volume element of concrete, which reflects its inherent structural randomness. Computed tomography (CT) images are employed to provide the necessary information for the geometric statistical characterization of aggregate and defect (voids, pores, and micro-cracks) distributions. A Monte-Carlo simulation is used to generate 1000 realizations of statistically equivalent representative volume element (SERVE) and finite element predictions of SERVEs elastic and inelastic response are compared with experiments.
Tal, D., & Fish, J. (2018). Stochastic multiscale modeling and simulation framework for concrete. Cement and Concrete Composites, 90, 61–81. https://doi.org/10.1016/j.cemconcomp.2018.03.016