- Title
- Automatic mesoscopic fracture modelling of concrete based on enriched SBFEM space and quad-tree mesh
- Creator
- Jiang, Shouyan; Sun, Liguo; Ooi, Ean Tat; Ghaemian, Mohsen; Du, Chengbin
- Date
- 2022
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/190507
- Identifier
- vital:17631
- Identifier
-
https://doi.org/10.1016/j.conbuildmat.2022.128890
- Identifier
- ISSN:0950-0618 (ISSN)
- Abstract
- A novel approach for mesoscale modelling of concrete composites is proposed by combining enriched scaled boundary finite element methods with quad-tree mesh. The concrete meso-structures are comprised of randomly distributed aggregates, mortar matrix, and interface transition zone. An improved random aggregate generation technique is developed to construct digital images of mesoscale concrete models. Based on the quadtree decomposition algorithm, meshes can be generated automatically from the digital images of concrete mesostructure. The whole mesh generation process is highly efficient without any artificial interference and eliminates the issue of hanging nodes faced by standard finite elements. Additionally, local remeshing is unnecessary as crack propagates. Three numerical examples are modelled to demonstrate the performance of the proposed approach, and the effects of aggregate area fraction on the mechanical properties of concrete composites are also discussed. © 2022 Elsevier Ltd
- Publisher
- Elsevier Ltd
- Relation
- Construction and Building Materials Vol. 350, no. (2022), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2022 Elsevier Ltd
- Subject
- 3302 Building; 4005 Civil engineering; 4016 Materials engineering; Concrete composites; Crack propagation; Meso-scale modelling; Quad-tree mesh; Random aggregate model; Scaled boundary finite element method
- Reviewed
- Funder
- The authors gratefully acknowledge support for this research from the National Key R&D Program Project of China-Key Project of Intergovernmental International Scientific and Technological Innovation Cooperation (Grant No. 2018YFE0122400), Iran National Science Foundation (Grant No. 97023017), the Fundamental Research Funds for the Central Universities (Grant No. B210202097) and Open Research Fund of Key Laboratory of Engineering Geophysical Prospecting and Detection of Chinese Geophysical Society (CJ2021GE06).
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