Wang, X;
Zhang, M;
Jivkov, AP;
(2016)
Computational technology for analysis of 3D meso-structure effects on damage and failure of concrete.
International Journal of Solids and Structures
, 80
pp. 310-333.
10.1016/j.ijsolstr.2015.11.018.
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Abstract
Methodology for analysis of meso-structure effects on longer-scale mechanical response of concrete is developed. Efficient algorithms for particle generation and packing are proposed to represent 3D meso-structures as collections of discrete features distributed randomly in a continuous phase. Specialised to concrete, the continuous phase represents mortar, while the features are aggregates and voids. Intra- and inter-phase cohesive zones are used for failure initiation and crack propagation. A Monte Carlo approach is proposed to analyse the effects of meso-structure geometrical (volume density, size distribution and shape of features) and physical (strength and energy of cohesive zones) properties, whereas a number of model realisations with identical properties are used for statistical analysis. The results present the relative significance of each meso-structure parameter for the emergent load capacity (tensile strength), damage evolution via micro-crack coalescence and macro-crack patterns, and failure energy density (toughness) of concrete. The proposed methodology is an effective tool for meso-structure optimisation in the design of concrete structures with prescribed requirements for strength and toughness.
Type: | Article |
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Title: | Computational technology for analysis of 3D meso-structure effects on damage and failure of concrete |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.ijsolstr.2015.11.018 |
Publisher version: | http://dx.doi.org/10.1016/j.ijsolstr.2015.11.018 |
Language: | English |
Additional information: | © 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Concrete, Particle packing, Voids, Meso-scale model, Cohesive zones, Monte Carlo simulation |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/1474656 |



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