Structural Engineering and Mechanics

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Theoretical and practical models for shear strength of corroded reinforced concrete columns

  • Yu, Bo (School of Civil Engineering and Architecture, Guangxi University) ;
  • Ding, Zihao (School of Civil Engineering and Architecture, Guangxi University) ;
  • Liu, Shengbin (School of Civil Engineering and Architecture, Guangxi University) ;
  • Li, Bing (School of Civil and Environmental Engineering, Nanyang Technological University)
  • Received : 2020.06.06
  • Accepted : 2021.06.29
  • Published : 2021.09.10
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Abstract

In order to predict the shear strength of corroded reinforced concrete column (CRCC) accurately and efficiently, both theoretical and practical models for shear strength of the CRCC were established through theoretical derivation and experimental validation. The deterioration mechanism for shear strength of the CRCC due to the steel reinforcement corrosion was explored first based on the shear mechanism analysis of the truss-arch model. Then a theoretical model for shear strength of the CRCC was developed by taking into account the influences of steel reinforcement corrosion on the effective yield strength of transverse reinforcement, the effective cross-sectional area of both corroded transverse and longitudinal reinforcements as well as the effective concrete shear area. Meanwhile, three practical models to evaluate the shear strength of the CRCC were proposed based on 54 sets of experimental data by determining the approximate values of three important parameters, including the contribution coefficient of shear strength for concrete, the ratio of shear stiffness between the truss model and the arch model, as well as the tangent value of the critical crack angle. Finally, the accuracy and applicability of both theoretical and practical models for shear strength of the CRCC were validated by comparing with five existing empirical shear strength models.

Keywords

Acknowledgement

The financial support received from the National Natural Science Foundation of China (Grant Nos. 51668008 and 51738004), the Guangxi Science Fund for Distinguished Young Scholars (2019GXNSFFA245004) and the Natural Science Foundation of Guangxi Province (Grant No. 2018GXNSFAA281344) is gratefully acknowledged.

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