Numerical determination of concrete crack width for corrosion-affected concrete structures

Yang, S, Li, K and Li, C 2018, 'Numerical determination of concrete crack width for corrosion-affected concrete structures', Computers and Structures, vol. 207, pp. 75-82.


Document type: Journal Article
Collection: Journal Articles

Title Numerical determination of concrete crack width for corrosion-affected concrete structures
Author(s) Yang, S
Li, K
Li, C
Year 2018
Journal name Computers and Structures
Volume number 207
Start page 75
End page 82
Total pages 8
Publisher Pergamon Press
Abstract Corrosion-induced deterioration of reinforced concrete (RC) structures results in premature failure of the RC structures. In practice concrete crack width is one of the most important criteria for the assessment of the serviceability of RC structures. It is therefore desirable to predict the growth of the crack width over time so that better informed decisions can be made concerning the repairs due to concrete cracking. Literature review shows that little research has been undertaken on numerical prediction of concrete crack width. The intention of this study was to develop a numerical method to predict concrete crack width for corrosion-affected concrete structures. A cohesive crack model for concrete is implemented in the numerical formulation to simulate crack initiation and propagation in concrete. Choices for evaluating the parameters of cohesive elements are extensively discussed which is a key for developing a plausible model employing cohesive elements. The surface crack width is obtained as a function of service time. Accurate prediction of crack width can allow timely maintenance which prolongs the service life of the reinforced concrete structures.
Subject Structural Engineering
Keyword(s) Corrosion
Crack width
Numerical modelling
Reinforced concrete
DOI - identifier 10.1016/j.compstruc.2017.07.016
Copyright notice © 2017 Elsevier Ltd.
ISSN 0045-7949
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 22 Abstract Views  -  Detailed Statistics
Created: Tue, 23 Oct 2018, 16:00:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us