Stochastic modelling and lifecycle performance assessment of bond strength of corroded reinforcement in concrete

Article


Chen, Hua-Peng and Nepal, J. 2015. Stochastic modelling and lifecycle performance assessment of bond strength of corroded reinforcement in concrete. Structural Engineering and Mechanics. 54 (2), pp. 319-336. https://doi.org/10.12989/sem.2015.54.2.319
AuthorsChen, Hua-Peng and Nepal, J.
Abstract

Life cycle performance of corrosion affected RC structures is an important and challenging issue for effective infrastructure management. The accurate condition assessment of corroded RC structures mainly depends on the effective evaluation of deterioration occurring in the structures. Structural performance deterioration caused by reinforcement corrosion is a complex phenomenon which is generally uncertain and non-decreasing. Therefore, a stochastic modelling such as the gamma process can be an effective tool to consider the temporal uncertainty associated with performance deterioration. This paper presents a time-dependent reliability analysis of corrosion affected RC structures associated bond strength degradation. Initially, an analytical model to evaluate cracking in the concrete cover and the associated loss of bond between the corroded steel and the surrounding cracked concrete is developed. The analytical results of cover surface cracking and bond strength deterioration are examined by experimental data available. Then the verified analytical results are used for the stochastic deterioration modelling, presented here as gamma process. The application of the proposed approach is illustrated with a numerical example. The results from the illustrative example show that the proposed approach is capable of assessing performance of the bond strength of concrete structures affected by reinforcement corrosion during their lifecycle.

JournalStructural Engineering and Mechanics
Journal citation54 (2), pp. 319-336
ISSN1225-4568
Year2015
PublisherTechno-Press
Accepted author manuscript
License
File Access Level
Anyone
Digital Object Identifier (DOI)https://doi.org/10.12989/sem.2015.54.2.319
Web address (URL)https://doi.org/10.12989/sem.2015.54.2.319
Publication dates
Print07 Apr 2015
Publication process dates
Deposited08 Oct 2018
Copyright information© 2015 Techno-Press.
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