Community Research and Development Information Service - CORDIS


A Perspective on Computerized Severe Accident Management Operator Support - "SAMOS"

Funded under: FP5-EAECTP C


To date, many nuclear power plants have severe accident management guidelines in place. These provide guidance to the plant operators and the Emergency Response Organisation (ERO) in the unlikely event of core damage or core melt. During such an event, successful counteractions depend on an understanding of the plant damage state as provided by a number of critical parameters, the availability of supporting equipment, insights in the possibility to recover lost equipment, and insights in the possible evolution of the accident, both with and without planned countermeasures. This last item is notably important for off-site measures to protect the public, as it will help to estimate possible ongoing and future releases. The guidelines often use quantitative information in the form of pre-calculated curves and graphs (Computational Aids, CAs), which may not be (fully) applicable for the situation at hand and, hence, may need to be adapted.
The tasks involved are complex, and must be executed under potentially high stress conditions, often with incomplete information about the status of the plant and its mitigating systems, and the possible evolution of the accident.
The present project develops support for these tasks by the use of artificial intelligence. This support includes signal validation, identification of the initiator event and of plant damage states, guidance for system restoration, prediction of major events like vessel melt-through, steam generator tube creep rupture and containment challenges (hydrogen burns, overpressure) and dose predictions, both for on-site compartments and off-site areas.

Download application/msword (287232)

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