Communication Dans Un Congrès Année : 2017

Statistical analysis and probabilistic modeling of chloride ingress spatial variability in concrete coastal infrastructures

Résumé

Chloride ingress is the main deterioration process of reinforced concrete (RC) structures exposed to marine environment. This paper presents experimental studies combined with statistical analysis to assess spatial variability of the main parameters influencing chloride-induced corrosion for RC i.e. the RC resistivity ρ, the surface chloride content, Cs, and the chloride diffusion coefficient Da. In the maintenance context, they must be evaluated as spatial random fields. Thus, we investigate 36 chloride profiles and 6 resistivity paths measured on the same concrete. The measurement error is incorporated in the model, then statistical estimations and test are performed to assess properties of the random field and the error on the scale of fluctuations.

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Dates et versions

hal-04494995 , version 1 (11-03-2024)

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Franck Schoefs, Mestapha Oumouni, Romain Clerc, Ines Othmen, Stéphanie Bonnet. Statistical analysis and probabilistic modeling of chloride ingress spatial variability in concrete coastal infrastructures. Coastal and Maritime Mediterranean Conference EDITION 4, Pôle Mer Méditerranée; Institut za Oceanografiju i Ribarstvo, Nov 2017, Split, Croatia. pp.229-234, ⟨10.5150/cmcm.2017.042⟩. ⟨hal-04494995⟩
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