Accurate cover crack modelling of reinforced concrete structures subjected to non-uniform corrosion

Xi, X, Yang, S and Li, C 2018, 'Accurate cover crack modelling of reinforced concrete structures subjected to non-uniform corrosion', Structure and Infrastructure Engineering, vol. 14, no. 12, pp. 1628-1640.


Document type: Journal Article
Collection: Journal Articles

Title Accurate cover crack modelling of reinforced concrete structures subjected to non-uniform corrosion
Author(s) Xi, X
Yang, S
Li, C
Year 2018
Journal name Structure and Infrastructure Engineering
Volume number 14
Issue number 12
Start page 1628
End page 1640
Total pages 13
Publisher Taylor & Francis
Abstract Concrete cover cracking caused by reinforcement corrosion is a significant durability problem of reinforced concrete (RC) structures. Extensive research has been carried out in the last few decades while most were focused on corrosion of a single reinforcing bar. Very little research has examined the whole cover cracking of RC structures due to multiple reinforcement corrosion. This article develops a numerical model to predict the structural failure of the whole cover of concrete induced by corrosion of multiple reinforcing bars. Moreover, a non-uniform corrosion model is established based on experimental results, in contrast to conventional uniform assumption. Two typical cover failure modes under the non-uniform corrosion of multiple reinforcing bars are identified and discussed. The effects of cover thickness, reinforcement spacing, fracture energy of concrete, etc., on cover cracking patterns and crack width are also investigated. The derived numerical model is verified by comparing the results with those from experiments in literature. Accurate prediction of concrete cover cracking can allow timely maintenance of existing structures and rational design for new buildings which prolongs the service life of the RC structures.
Subject Civil Engineering not elsewhere classified
Keyword(s) Concrete structures
corrosion
durability
finite element method
reinforcement
simulation models
DOI - identifier 10.1080/15732479.2018.1486440
Copyright notice © 2018 Informa UK Limited, trading as Taylor & Francis Group.
ISSN 1573-2479
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