Monte Carlo simulations of mesoscale fracture modelling of concrete with random aggregates and pores

被引:288
作者
Wang, X. F. [1 ]
Yang, Z. J. [1 ,2 ]
Yates, J. R.
Jivkov, A. P. [1 ]
Zhang, Ch [3 ]
机构
[1] Univ Manchester, Sch Mech Aerosp & Civil Engn, Manchester M13 9PL, Lancs, England
[2] Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou 310058, Zhejiang, Peoples R China
[3] Univ Siegen, Dept Civil Engn, D-57076 Siegen, Germany
基金
英国工程与自然科学研究理事会;
关键词
Concrete; Aggregates and pores; Nonlinear cohesive fracture; Random generation and packing; Monte Carlo simulation; Meso-scale modelling; HOMOGENIZATION; ELEMENT; QUANTIFICATION; DAMAGE;
D O I
10.1016/j.conbuildmat.2014.09.069
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A procedure for generating two-dimensional heterogeneous meso-scale concrete samples is developed, in which the multi-phasic features including the shape, size, volume fraction and spatial distribution of aggregates and pores are randomised. Zero-thickness cohesive interface elements with softening traction-separation relations are pre-inserted within solid element meshes to simulate complex crack initiation and propagation. Extensive Monte Carlo simulations (MCS) of uniaxial tension tests were carried out to investigate the effects of key multi-phasic features on the fracture patterns and load-carrying capacities. It is found that the fracture behaviour and stress-displacement responses of the numerical specimens are highly dependent on the random mesostructures, especially the post-peak softening responses. The specimens fail with either one or two macro-cracks, regardless of the shapes and volume fractions of aggregates and pores. Assuming that the aggregate-mortar interface is weaker than the mortar, using polygonal rather than circular or elliptical aggregates, or increasing the aggregate volume fraction will reduce the tensile strength of specimens. The porosity is found to have severely adverse effects on the specimen strength and cannot be neglected in mesoscale fracture modelling of concrete. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:35 / 45
页数:11
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