EIC-based fatigue life prediction for aging reinforced concrete beams
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Détails bibliographiques
| Auteur(s): |
Yafei Ma
(Hunan Province Engineering Laboratory of Bridge Structure, Changsha University of Science & Technology, Changsha, China)
Lei Wang (Hunan Province Engineering Laboratory of Bridge Structure, Changsha University of Science & Technology, Changsha, China) Jianren Zhang (Hunan Province Engineering Laboratory of Bridge Structure, Changsha University of Science & Technology, Changsha, China) Yongming Liu (School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, AZ, USA) |
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| Médium: | papier de conférence | ||||
| Langue(s): | anglais | ||||
| Conférence: | IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015 | ||||
| Publié dans: | IABSE Conference Geneva 2015 | ||||
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| Page(s): | 1080-1087 | ||||
| Nombre total de pages (du PDF): | 8 | ||||
| Année: | 2015 | ||||
| DOI: | 10.2749/222137815818358330 | ||||
| Abstrait: |
The relationship between corrosion pit depth and corrosion loss is investigated based on the experimental results from artificially corrosion test. A calibration process is used to obtain an empirical stress concentration factor model under different corrosion levels based on experimental fatigue tests. It is found that the stress concentration factor increases initially and then decreases with increasing corrosion loss. Following that, the developed model is used to obtain the stress intensity factor. The fatigue life can be predicted by using integration of the fatigue crack growth rate curve from the equivalent initial crack to a critical length. Numerical fatigue life prediction results for fatigue tests of various corroded beams are used to demonstrate the accuracy of the propose method, and reasonable agreement is observed. |
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