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Stochastic Evaluation of Carbonation Depth and Predictions Updating

Abstract : In the scope of the inspection plan optimization of civil engineering structures subject to carbonation (carbon dioxyde penetration), several analytical models help to predict the degradation evolution. The degradation model used here is coming from the european project DuraCrete. This paper investigates its predictive capability, using the a priori of its inputs given in the litterature, but also after updating its predictions based on simulated measures with a finite element code.
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Submitted on : Wednesday, July 9, 2014 - 10:20:31 AM
Last modification on : Sunday, June 26, 2022 - 12:43:49 AM
Long-term archiving on: : Thursday, October 9, 2014 - 11:22:08 AM


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  • HAL Id : hal-01021207, version 1


Rodrigue Décatoire, Thomas de Larrard, Thierry yalamas, Franck Schoefs, Sidi-Mohammed Elachachi. Stochastic Evaluation of Carbonation Depth and Predictions Updating. EWSHM - 7th European Workshop on Structural Health Monitoring, IFFSTTAR, Inria, Université de Nantes, Jul 2014, Nantes, France. ⟨hal-01021207⟩



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