# Corrosion modelling of iron for long term prediction in nuclear waste repository

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Abstract : The long-term behavior of nuclear waste canisters in geological repository depends on metallic materials and geochemical features of the surrounding. In clay, H$_2$ and metallic cations induce geochemical transformations which change pH and redox potential. So the 1000-years behavior of canisters could be predicted by linking geochemical and corrosion models. The Diffusion Poisson Coupled Model (DPCM) has been proposed as corrosion model for passive iron. To ensure feedback from geochemistry on corrosion rate, backward reactions were introduced.The DPCM is a mechanistic model involving 40 parameters to solve the Poisson and Fick equations in moving boundaries situation. The purpose of this paper is to present the strategy adopted to set up parameters of the CALIPSO code which solves the equation of the DPCM. It has been shown that one half of these parameters could be evaluated from equilibrium considerations. Then specific experiments could be simulated to set up some parameters. For instance, dissolution rate of magnetite layer monitored by XANES, layer thickness growth monitored by ellipsometry, potentio static and Mott-Schottky experiments have been simulated to set up parameters of dissolution and release processes, inner oxide growth and electrostatic description of outer interface. This strategy was efficient because the DPCM can simulate a large panel of stationary and non-stationary experiments.
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Cited literature [6 references]

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• HAL Id : cea-02439442, version 1

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J. Agullo, C. Bataillon, L. Trenty. Corrosion modelling of iron for long term prediction in nuclear waste repository. EUROCORR 2016 - European Corrosion Congress, Sep 2016, Montpellier, France. ⟨cea-02439442⟩

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