- Title
- A mesoscale modelling approach coupling SBFEM, continuous damage phase-field model and discrete cohesive crack model for concrete fracture
- Creator
- Yu, Kelai; Yang, Zhenjun; Li, Hui; Ooi, Ean Tat; Li, Shangming; Liu, GuoHua
- Date
- 2023
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/194498
- Identifier
- vital:18374
- Identifier
-
https://doi.org/10.1016/j.engfracmech.2022.109030
- Identifier
- ISSN:0013-7944 (ISSN)
- Abstract
- This study develops an innovative numerical approach for simulating complex mesoscale fracture in concrete. In this approach, the concrete meso-structures are generated using a random aggregate generation and packing algorithm. Each aggregate is modelled by a single scaled boundary finite element method (SBFEM) based polygon with the boundary discretized only. The damage and fracture in the mortar is simulated by the continuous damage phase-field regularized cohesive zone model (PF-CZM), and the aggregate-mortar interfaces are modelled by zero-thickness cohesive interface elements (CIEs) with nonlinear softening separation-traction laws. This new approach thus takes full advantages of different methods, including the semi-analytical accuracy and high flexibility in mesh generation and transition of SBFEM, the mesh and length-scale independence of PF-CZM, and the ease-of-use of CIEs in modelling discrete interfacial fracture. These advantages are demonstrated by successful simulations of a few 2D and 3D benchmark examples in mode-I and mixed-mode fracture. © 2022 Elsevier Ltd
- Publisher
- Elsevier Ltd
- Relation
- Engineering Fracture Mechanics Vol. 278, no. (2023), 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
- 40 Engineering; Cohesive interface element; Concrete; Mesoscale fracture; Phase field model; Scaled boundary finite element method
- Reviewed
- Funder
- This study is funded by National Natural Science Foundation of China (No. 51974202 , No. 52173300 and No. 51979244 ), Sino-German Center for Research Promotion (Mobility Programme No. M-0172), and Key Research and Development Programme of Hubei Province (No. 2020BAB052).
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