Probabilistic and predictive performance-based approach for assessing reinforced concrete structures lifetime: The applet project

Concrete deterioration results in different damage extents, from cracking to concrete spalling, from losses of reinforcement cross-sections to bond losses. A relevant prediction of this performance is the basis for a successful management of the concrete structures. Conversely, the large amount of u...

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Main Authors: L’Hostis V., Bouteiller V., Berthaud Y., Adélaide L., Cremona C., Poyet S., Torrenti J.-M.
Format: Article
Language:English
Published: EDP Sciences 2011-04-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/20111201004
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spelling doaj-cc0d3564dfff498fb682f3a6d1ebe19c2021-08-02T03:32:02ZengEDP SciencesEPJ Web of Conferences2100-014X2011-04-01120100410.1051/epjconf/20111201004Probabilistic and predictive performance-based approach for assessing reinforced concrete structures lifetime: The applet projectL’Hostis V.Bouteiller V.Berthaud Y.Adélaide L.Cremona C.Poyet S.Torrenti J.-M.Concrete deterioration results in different damage extents, from cracking to concrete spalling, from losses of reinforcement cross-sections to bond losses. A relevant prediction of this performance is the basis for a successful management of the concrete structures. Conversely, the large amount of uncertainties related to parameters and models require a specific analysis in order to provide relevant results. The APPLET project intends to develop a probabilistic and predictive performance-based approach by quantifying the various sources of variability (material and structure), studying the interaction between environmental aggressive agents and the concrete material, ensuring a transfer of the physical-chemical models at the material scale towards models at the structure level, including and understanding in a better manner the corrosion process, integrating interface models between reinforcement and concrete, proposing relevant numerical models, integrating know-how from monitoring or inspection. To provide answers, a consortium of 19 partners has been established and has promoted a research project funded by the French Research Science Agency (ANR). Started in May 2007, the project has ended in November 2010. This paper will resume the most significant advances targeted by this research project. http://dx.doi.org/10.1051/epjconf/20111201004
collection DOAJ
language English
format Article
sources DOAJ
author L’Hostis V.
Bouteiller V.
Berthaud Y.
Adélaide L.
Cremona C.
Poyet S.
Torrenti J.-M.
spellingShingle L’Hostis V.
Bouteiller V.
Berthaud Y.
Adélaide L.
Cremona C.
Poyet S.
Torrenti J.-M.
Probabilistic and predictive performance-based approach for assessing reinforced concrete structures lifetime: The applet project
EPJ Web of Conferences
author_facet L’Hostis V.
Bouteiller V.
Berthaud Y.
Adélaide L.
Cremona C.
Poyet S.
Torrenti J.-M.
author_sort L’Hostis V.
title Probabilistic and predictive performance-based approach for assessing reinforced concrete structures lifetime: The applet project
title_short Probabilistic and predictive performance-based approach for assessing reinforced concrete structures lifetime: The applet project
title_full Probabilistic and predictive performance-based approach for assessing reinforced concrete structures lifetime: The applet project
title_fullStr Probabilistic and predictive performance-based approach for assessing reinforced concrete structures lifetime: The applet project
title_full_unstemmed Probabilistic and predictive performance-based approach for assessing reinforced concrete structures lifetime: The applet project
title_sort probabilistic and predictive performance-based approach for assessing reinforced concrete structures lifetime: the applet project
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2011-04-01
description Concrete deterioration results in different damage extents, from cracking to concrete spalling, from losses of reinforcement cross-sections to bond losses. A relevant prediction of this performance is the basis for a successful management of the concrete structures. Conversely, the large amount of uncertainties related to parameters and models require a specific analysis in order to provide relevant results. The APPLET project intends to develop a probabilistic and predictive performance-based approach by quantifying the various sources of variability (material and structure), studying the interaction between environmental aggressive agents and the concrete material, ensuring a transfer of the physical-chemical models at the material scale towards models at the structure level, including and understanding in a better manner the corrosion process, integrating interface models between reinforcement and concrete, proposing relevant numerical models, integrating know-how from monitoring or inspection. To provide answers, a consortium of 19 partners has been established and has promoted a research project funded by the French Research Science Agency (ANR). Started in May 2007, the project has ended in November 2010. This paper will resume the most significant advances targeted by this research project.
url http://dx.doi.org/10.1051/epjconf/20111201004
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