Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadata

Cited literature [8 references]  Display  Hide  Download

https://hal.inria.fr/hal-01021207
Contributor : Anne Jaigu <>
Submitted on : Wednesday, July 9, 2014 - 10:20:31 AM
Last modification on : Tuesday, March 2, 2021 - 2:44:12 PM
Long-term archiving on: : Thursday, October 9, 2014 - 11:22:08 AM

File

0378.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01021207, version 1

Citation

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⟩

Share

Metrics

Record views

408

Files downloads

287