- Title
- Fatigue behavior and digital image correlation monitoring of steel plates with mixed-mode edge cracks repaired with CFRP materials
- Creator
- Chen, Tao; Ye, Mao; Yao, Cheng; Xiao, Zhigang
- Date
- 2023
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/193396
- Identifier
- vital:18160
- Identifier
-
https://doi.org/10.1016/j.compstruct.2022.116408
- Identifier
- ISSN:0263-8223 (ISSN)
- Abstract
- In recent years, carbon fiber reinforced polymer (CFRP) has been widely used to improve the fatigue behavior of steel structures, while most relevant studies were focused on steel components with mode I cracks. This study aims to investigate the fatigue behavior of steel plates with mixed-mode I/II edge cracks patched with CFRP sheets or plates. A total of eleven specimens were fabricated and tested. A digital image correlation (DIC) system was employed as a non-contact measurement to monitor the fatigue crack propagation. Post-processed displacement fields were used to calculate stress intensity factors (SIFs) near the crack tips. Experimental results showed that double-sided CFRP repairing could significantly improve the fatigue life of edge-cracked specimens, especially those with mode I crack rather than mixed-mode I/II crack. Corresponding finite element (FE) analyses were conducted, and good consistency was achieved with test results of crack growth trajectories and fatigue lives. Further FE analysis considered three parameters: load application angle, CFRP layer number, and initial damage level. © 2022 Elsevier Ltd
- Publisher
- Elsevier Ltd
- Relation
- Composite Structures Vol. 304, 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; Carbon fiber reinforced polymer (CFRP); Digital image correlation (DIC); Fatigue behavior; Finite element method (FEM); Mixed-mode edge crack; Stress intensity factor (SIF)
- Reviewed
- Funder
- This work was supported by the National Natural Science Foundation of China (Grant No. 51978509 ) and the Top Discipline Plan of Shanghai Universities-Class I.
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