Prediction of Chloride Ingress Profiles in Concrete by Machine Learning

Author:

Fjendbo Simon

Publisher

Springer Nature Switzerland

Reference31 articles.

1. fib (2006) Model code for service life design - bulletin 34, fédération internationale du béton (fib), Lausanne, Switzerland

2. Collepardi M, Marcialis A, Turriziani R (1970) The kinetics of chloride ions penetration in concrete. Il cemento 67:157–164

3. Engelund S (2000) General guidelines for durability design and redesign: DuraCrete, probabilistic performance based durability design of concrete structures [Gouda]: [CUR]

4. Siemes AJM, Edvardsen C, Bouw TNO (199) Duracrete: service life design for concrete structures In: Lacasse MA, Vanier DJ (Eds.) NRC Research Press, Ottawa, Canada

5. Tang L (2008) Engineering expression of the ClinConc model for prediction of free and total chloride ingress in submerged marine concrete. Cem Concr Res 38(8–9):1092–1097

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