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IMPROVEMENT OF THE PREDICTIVE MODEL FOR THE INTERFACIAL SHEAR STRENGTH OF CONCRETE-TO-CONCRETE BOND
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Abstract
This study presents an improved model for predicting the interfacial shear strength of concrete-to-concrete bonds, a critical factor in precast concrete structures. A review of existing models shows that most formulations consider only limited parameters, such as reinforcement ratio (ρ) and steel strength (fy), while neglecting concrete strength and interaction effects, leading to low accuracy. To address this issue, a new model based on multivariable linear regression is proposed. The model incorporates equivalent concrete strength and accounts for both individual and interaction effects between key variables. The proposed model demonstrates improved performance with statistical indicators of mean = 1.002, COV = 0.273, and R2 = 0.842. Parametric analysis indicates that shear strength increases with higher concrete strength and reinforcement contribution. The results provide a more reliable basis for design and highlight the potential for further improvement by expanding experimental data and considering additional influencing factors.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Keywords
Concrete, Interfacial shear strength, concrete strength, model
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