@article{4c96439962d843e5bf397f18d45fe531,
title = "Combined numerical-statistical analyses of Damage and Failure of 2D and 3D Mesoscale Heterogeneous Concrete",
abstract = "Generation and packing algorithms are developed to create models of mesoscale heterogeneous concrete with randomly distributed elliptical/polygonal aggregates and circular/elliptical voids in two-dimension (2D) or ellipsoidal/polyhedral aggregates and spherical/ellipsoidal voids in three-dimension (3D). The generation process is based on the Monte Carlo simulation method wherein the aggregates and voids are generated from prescribed distributions of their size, shape and volume fraction. A combined numerical-statistical method is proposed to investigate damage and failure of mesoscale heterogeneous concrete: the geometrical models are first generated and meshed automatically, simulated by using cohesive zone model, and then results are statistically analysed. Zero-thickness cohesive elements with different traction-separation laws within the mortar, within the aggregates and at the interfaces between these phases are pre-inserted inside solid element meshes to represent potential cracks. The proposed methodology provides an effective and efficient tool for damage and failure analysis of mesoscale heterogeneous concrete, and a comprehensive study was conducted for both 2D and 3D concretes in this paper.",
keywords = "concrete, random packing, voids, numerical-statistical, cohesive zone model, mesoscale modelling",
author = "Xiaofeng Wang and Jivkov, \{Andrey P\}",
note = "This work is supported by the EPS Faculty PhD Studentship from the University of Manchester for XF Wang. The authors would like to acknowledge the assistance given by IT Services and the use of the Computational Shared Facility (CSF) at The University of Manchester.",
year = "2015",
month = oct,
day = "12",
doi = "10.1155/2015/702563",
language = "English",
volume = "2015",
journal = "Mathematical Problems in Engineering",
publisher = "John Wiley \& Sons Ltd",
}