Développement de méthodes statistiques et probabilistes en corrosion par piqûres pour l'estimation de la profondeur maximale : application à l'aluminium A5

Abstract : pitting corrosion is one of the most prevalent forms of corrosion. It affects all materials and takes place in a very important economic context. Pits can manifest locally over the structure and leads to its deterioration particularly in the presence of mechanical solicitations. The stochastic aspect of the phenomenon led to the development of statistical methods in order to characterize it. This characterization is often done through the estimation of maximum pit depth in the aim to assess the risk of perforation. For this aim, the method of Gumbel is often used. The objective of this work is to check the conditions of application of this method notably the independence and compare it with the approaches based on law of generalized extreme values and the peak over threshold. The condition of independence is verified using spatial process. An adaptation of the spectral analysis in the context of pitting corrosion is also proposed. The comparison between the approaches is based on numerical simulations which the parameters come from the experimentation.
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Submitted on : Thursday, January 28, 2010 - 8:00:00 AM
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Adil Jarrah. Développement de méthodes statistiques et probabilistes en corrosion par piqûres pour l'estimation de la profondeur maximale : application à l'aluminium A5. Sciences de l'ingénieur [physics]. Arts et Métiers ParisTech, 2009. Français. ⟨NNT : 2009ENAM0024⟩. ⟨pastel-00005700⟩

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