Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4918201 | Construction and Building Materials | 2017 | 15 Pages |
Abstract
This study develops an efficient numerical homogenisation approach for meso-scale concrete samples with randomly generated and packed aggregates and pores. A simple algorithm is devised to discretize samples into meshes consisting of semi-analytical scaled boundary finite element (SBFE) polygons only. As each aggregate is modelled by one SBFE polygon and only polygonal boundaries are discretized into nodes, the degrees of freedom of a model is significantly reduced compared with conventional finite element models. The volumetrically averaged stress inside a SBFE polygon is semi-analytically integrated, leading to high accuracy in the homogenised elastic properties. The effects of model size and porosity are statistically studied by extensive Monte Carlo simulations. A size effect law taking porosity into account is proposed to predict effective elastic moduli in good agreement with experimental data up to 200Â mm model size. The meso-models are found statistically homogeneous when the size is about 4.5 times the maximum aggregate size.
Keywords
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Physical Sciences and Engineering
Engineering
Civil and Structural Engineering
Authors
Z.M. Wang, Y.J. Huang, Z.J. Yang, G.H. Liu, F. Wang,