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Master Thesis

Gestion du patrimoine ouvrages d'art : modélisation du vieillissement des bétons sous l'action des chlorures et développement d'outils d'aide à la décision

Abstract : The "Société d’Autoroutes Rhône Alpes AREA" is a company that operates a 413 Km highway network. Until the end of the concession contract in 2035, the enterprise must ensure the infrastructures availability as well as the security of the users taking those infrastructures while at the same time keeping these infrastructures in a good state of maintenance. AREA operates a sizable asset of 800 bridges. In order to meet the terms of the concession convention, this asset is subjected to maintenance and repair programs. Facing issues related to the ageing of structures, AREA wants to have tools and techniques that will make it possible to optimize the management of the company’s bridge asset. This study addresses two main subjects related to the issue of bridge asset management. The objective of the first part of the internship is to develop an ageing model for reinforced concrete bridge components exposed to deicing salts attacks. This model will allow the engineers to predict the deterioration of reinforced concrete structures and thus will enable them to take appropriate actions in a good timing to prevent the occurrence of higher risks related to deterioration of the structures. The second part of the study aims to develop decision support tools which will help AREA’s engineers to anticipate the needs in terms of maintenance actions as well as to quantify the necessary resources to achieve objectives that can be imposed. These tools will also be useful for the engineers to communicate with the company executives in order to justify the choice of maintenance actions and the related costs.
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-02474299
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Submitted on : Tuesday, February 11, 2020 - 11:49:21 AM
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Nabil Bellaft. Gestion du patrimoine ouvrages d'art : modélisation du vieillissement des bétons sous l'action des chlorures et développement d'outils d'aide à la décision. Sciences de l'ingénieur [physics]. 2016. ⟨dumas-02474299⟩

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