This paper presents the Cemagref work in the field of diagnosis aid applied to dam ageing. The context is a portfolio of 250 dams under the supervisory of the environment ministry and involving public safety. These dams are characterised by a relative heterogeneity in their conception, age and management modes. First, the paper presents this dam portfolio. Our approach proposes to capitalise on feedback and expert knowledge, in order to improve dam diagnosis. Our work has started with computer researches, in order to model expert’s process of reasoning by dam ageing scenarios. We have produced a decision making aid system for dam ageing diagnosis. This system is able to manage historic and ageing scenario databases. Then, we have developed with LERMES/CUST a dam degradation model in order to build up the scenarios. Our methodology is based on functional modelling and FMEA method. Our main goal is to build up a dam ageing scenario database and to manage this database with the decision making tools.
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