Technical Papers
Jul 3, 2018

Fatigue-Life Prediction of Corroded Steel Bar Based on Fractal Theory

Publication: Journal of Materials in Civil Engineering
Volume 30, Issue 9

Abstract

This paper presents an experimental study that sought to characterize the effect of corrosion and fatigue load on the behavior of reinforcing steel bars. The surface profiles of corroded steel bars and the relationship between fatigue life and corrosion morphology were investigated. First, the corrosion process was accelerated by applying external direct current. Next, fatigue tests were performed on uncorroded specimens and precorroded specimens, and the results are presented and analyzed. A method for calculating the three-dimensional (3D) corrosion morphology coefficient of corroded steel bar is proposed. The fatigue life of corroded bars is significantly reduced because of corrosion morphology, and a logarithmic linear relationship exists between fatigue life and the corrosion morphology coefficient. Considering the corrosion morphology of corroded steel bars, a method is provided to calculate the fatigue life of a corroded steel bar based on the properties of uncorroded steel bar and the 3D surface morphology coefficient of corroded steel bars. The prediction results for corroded steel bars agree well with the experimental observations.

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Acknowledgments

The authors gratefully acknowledge the financial support provided by the following agencies: the National Basic Research Program of China (973 Program) (Grant No. 2015cb057704) and the National Science Foundation of China (Grant No. 51378081).

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Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 30Issue 9September 2018

History

Received: Jul 4, 2017
Accepted: Mar 13, 2018
Published online: Jul 3, 2018
Published in print: Sep 1, 2018
Discussion open until: Dec 3, 2018

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Authors

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Professor, Key Laboratory for Safety Control of Bridge Engineering, Ministry of Education and Hunan Province, School of Civil Engineering and Architecture, Changsha Univ. of Science and Technology, Changsha 410114, China. Email: [email protected]
Ph.D. Candidate, Key Laboratory for Safety Control of Bridge Engineering, Ministry of Education and Hunan Province, School of Civil Engineering and Architecture, Changsha Univ. of Science and Technology, Changsha 410114, China (corresponding author). Email: [email protected]
Haiping Zhang [email protected]
Ph.D. Candidate, Key Laboratory for Safety Control of Bridge Engineering, Ministry of Education and Hunan Province, School of Civil Engineering and Architecture, Changsha Univ. of Science and Technology, Changsha 410114, China. Email: [email protected]
Ph.D. Candidate, Key Laboratory for Safety Control of Bridge Engineering, Ministry of Education and Hunan Province, School of Civil Engineering and Architecture, Changsha Univ. of Science and Technology, Changsha 410114, China. Email: [email protected]

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