Model for Flexural Strength Calculation of Corroded RC Beams Considering Bond–Slip Behavior
Publication: Journal of Engineering Mechanics
Volume 142, Issue 7
Abstract
An analytical model is proposed in this paper to evaluate the residual flexural strength for corroded RC beams. The steel slipping caused by bond degradation is included in the proposed model. Various failure modes of beams caused by different types of steel bar anchorage are also incorporated in the model. The bond degradation is considered as a function of the corrosion rate of steel. Bond degradation transfers prematurely the effective bond force, resulting in incompatible strain within the slipping region. A new method is developed to quantify the slipping region based on the transfer theory of effective bond force. Next, a new strain-incompatibility analysis method is proposed to determine the deteriorated flexural strength. The accuracy of the model is validated by experimental observations on the beams with different steel anchorage under corrosive environments. Results show that the proposed model can provide a reasonable prediction for the flexural strength and failure modes. The strain incompatibility of the corroded beams is sensitive to corrosion loss and loading position. It becomes very significant for the beams with a corrosion loss greater than 7% and the beam with a concentrated load at the midspan.
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Acknowledgments
The work reported here was conducted with financial support from the National Basic Research Program of China (973 Program, Grant No. 2015CB057705), the Special Fund of Excellent Doctoral Dissertations of China (Grant No. 201247), and Hunan Provincial Natural Science Foundation of China (Grant No. 14JJ1022). The support is gratefully acknowledged.
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Published In
Journal of Engineering Mechanics
Volume 142 • Issue 7 • July 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Aug 24, 2015
Accepted: Dec 28, 2015
Published online: Mar 15, 2016
Published in print: Jul 1, 2016
Discussion open until: Aug 15, 2016
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