| INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES | 卷:64-65 |
| In-depth numerical analysis of the TDCB specimen for characterization of self-healing polymers | |
| Article | |
| Gomez, David Garoz1,4  Gilabert, Francisco A.1,4  Tsangouri, Eleni2,4  Van Hemelrijck, Danny2  Hillewaere, Xander K. D.3,4  Du Prez, Filip E.3  Van Paepegem, Wim1  | |
| [1] Univ Ghent, Mech Mat & Struct, B-9052 Zwijnaarde, Belgium | |
| [2] Vrije Univ Brussel, Mech Mat & Construct, B-1050 Brussels, Belgium | |
| [3] Univ Ghent, Dept Organ & Macromol Chem PCR, B-9000 Ghent, Belgium | |
| [4] SIM Vzm, B-9052 Zwijnaarde, Belgium | |
| 关键词: TDCB specimen; Fracture mechanics; FEM simulation; XFEM enrichment; Self-healing polymer; | |
| DOI : 10.1016/j.ijsolstr.2015.03.020 | |
| 来源: Elsevier | |
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【 摘 要 】
The Tapered Double Cantilever Beam (TDCB) is the common specimen to study self-healing thermosetting polymers. While this geometry allows characterising the mode I fracture toughness without taking into account the crack length, the experiments show an important dispersion and unstable behaviour that must be taken into account to obtain accurate results. In this paper, finite element simulations have been used to understand the experimental behaviour. Static simulations with a stationary crack give the local stresses and the stress intensity factors at the crack tip when the TDCB is under load. In addition, the eXtended Finite Element Method (XFEM) has been used to make quasi-static crack propagation simulations. The results indicate that the crack tip has a curved profile during the propagation, advancing more at the edges than at the centre. The crack propagation begins when the applied load reaches a critical value. The unstable crack propagation noted in the experiments can be reproduced by introducing an unstable behaviour in the simulations. Finally, the sensitivity of the critical load has been studied as a function of the friction between pin and hole, tolerance of geometrical dimensions, and cracks out of the symmetric plane. The results can partially explain the dispersion of the experimental data. (C) 2015 Elsevier Ltd. All rights reserved.
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| Files | Size | Format | View |
|---|---|---|---|
| 10_1016_j_ijsolstr_2015_03_020.pdf | 2355KB |
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