Bond strength deterioration in corrosion damaged reinforced concrete structures significantly affects serviceability and load carrying capacity in their remaining service life. This paper presents a new analytical model for predicting the cracking development in the surrounding concrete and the residual bond strength of rebar in concrete structures due to reinforcement corrosion. The proposed analytical method adopts the thick-walled cylinder model for the cover concrete and considers the realistic properties of the corrosion-induced cracked concrete such as anisotropic behaviour, residual tensile strength and reduced tensile stiffness. As corrosion progresses, three phases for bond strength evolution associated with concrete cracking development are defined and the corresponding corrosion levels in each phase are determined. By using the constructed new governing equation, the crack width growth in the concrete cover and the radial bursting pressure at the bond interface are evaluated. The ultimate bond strength is then estimated from the contributions of adhesion,
The bond between concrete and steel is the critical element of reinforced concrete (RC) structures, which directly affects their load carrying capacity and serviceability. Hence the evaluation of bond strength degradation is an essential parameter to predict the residual strength of RC structures affected by reinforcement corrosion. Existing research studies in this field mainly focus on numerical and experimental investigations. Few attempts have been made using analytical approach but there is still a need of reliable model which considers the critical mechanical factors affecting the bond strength of corroded RC structures. This paper presents a simple and realistic analytical model of bond strength degradation by using fracture mechanics combining the action of adhesion, confining pressure and corrosion pressure at steel concrete interface. Finally, the results obtained from the proposed model are examined with published experimental data. The study demonstrates that the proposed analytical model agrees with the experimental data of existing investigations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.