Corrosion-induced deterioration of reinforced concrete structures results in premature concrete cracking and spalling, leading to ultimate structural collapse. In practice concrete crack width is one of the most important criteria for the assessment of the serviceability of concrete structures. It is therefore desirable to have knowledge of the growth of the crack width over time so that better-informed decisions can be made concerning the repairs due to concrete cracking. Literature review shows that little research has been undertaken on numerical prediction of concrete crack width. The intention of this study was to develop a numerical method to predict corrosion-induced concrete cracking and crack width for corrosion-affected concrete structures. A cohesive crack model for concrete is presented and direct tension tests on concrete are carried out to determine accurate concrete properties. Worked examples show that the numerical results are in good agreement with the analytical results. It can be concluded that the numerical method developed in the paper can predict corrosion-induced concrete cracking and crack width with reasonable accuracy.
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December 2011
Research Article|
December 01 2011
Numerical prediction for corrosion-induced concrete crack width
Shangtong Yang, MSc, PhD;
Shangtong Yang, MSc, PhD
1
Research Fellow, School of Engineering, University of Greenwich, London, UK
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Chun-Qing Li, MSc, PhD, CEng, FICE
Chun-Qing Li, MSc, PhD, CEng, FICE
2
Atkins Chair in Civil Engineering, School of Engineering, University of Greenwich, London, UK
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Publisher: Emerald Publishing
Accepted:
October 12 2007
Received:
July 02 2010
Online ISSN: 1747-6518
Print ISSN: 1747-650X
ICE Publishing: All rights reserved
2011
Proceedings of the Institution of Civil Engineers - Construction Materials (2011) 164 (6): 293–303.
Article history
Accepted:
October 12 2007
Received:
July 02 2010
Citation
Yang S, Li C (2011), "Numerical prediction for corrosion-induced concrete crack width". Proceedings of the Institution of Civil Engineers - Construction Materials, Vol. 164 No. 6 pp. 293–303, doi: https://doi.org/10.1680/coma.1000046
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