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

S.T. Yang, K.F. Li, C.Q. Li

Research output: Contribution to journalArticle

  • 1 Citations

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.
LanguageEnglish
Pages1-8
Number of pages8
JournalComputers and Structures
Early online date5 Aug 2017
DOIs
StateE-pub ahead of print - 5 Aug 2017

Fingerprint

Concrete Structures
Corrosion
Concrete construction
Crack
Reinforced Concrete
Concretes
Cracks
Reinforced concrete
Cohesive Crack
Predict
Surface Crack
Crack Initiation
Prediction
Literature Review
Crack Propagation
Cracking
Deterioration
Repair
Crack initiation
Service life

Keywords

  • corrosion
  • crack width
  • reinforced concrete
  • numerical modelling

Cite this

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Numerical determination of concrete crack width for corrosion-affected concrete structures. / Yang, S.T.; Li, K.F.; Li, C.Q.

In: Computers and Structures, 05.08.2017, p. 1-8.

Research output: Contribution to journalArticle

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