Chapter
Apr 22, 2019
Structures Congress 2019

Probabilistic Model for Rebar-Concrete Bond Failure Mode Prediction Considering Corrosion

Publication: Structures Congress 2019: Blast, Impact Loading, and Research and Education

ABSTRACT

Adequate bonding between rebar and concrete is critical to ensuring the reliable performance of RC structures. It is found empirically that bond behavior is affected by many factors, including concrete cover, transverse reinforcement, rebar geometry, concrete properties, etc. While many past studies have focused on the prediction of bond strength, how those factors influence the bond failure mode is not well investigated. The goal of this research is to develop a bond failure mode prediction model considering corrosion. The model development is based on bond testing results of 44 beam-end specimens with various rebar size, corrosion levels, covers, and stirrup confinement. This study adopts logistic and lasso logistic regression, where the failure mode is the categorical dependent variable and the aforementioned factors that could influence the bond behavior are the independent variables. The developed model can be can be further used for corroded RC structure performance evaluation.

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ACKNOWLEDGMENT

This material is based upon work supported by the National Science Foundation under Grant No. CMMI 1635507. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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Published In

Go to Structures Congress 2019
Structures Congress 2019: Blast, Impact Loading, and Research and Education
Pages: 362 - 372
Editor: James Gregory Soules, McDermott International
ISBN (Online): 978-0-7844-8224-7

History

Published online: Apr 22, 2019
Published in print: Apr 22, 2019

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Authors

Affiliations

Ahmad Soraghi [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Akron, OH 44325-3905. E-mail: [email protected]
Qindan Huang [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Akron, OH 44325-3905. E-mail: [email protected]
Derek A. J. Hauff [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Akron, OH 44325-3905. E-mail: [email protected]

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