Enhanced Bayesian Networks approach to risk assessment of spent fuel ponds Tolo, Silvia; Patelli, Edoardo; Beer, Michael; Broggi, Matteo
A model for the risk assessment of spent nuclear fuel ponds subject to the risk of flooding is proposed. The methodology adopted is based on the enhancement of Bayesian Networks approach with Structural Reliability Methods, in order to overcome the limitations of classic Bayesian Networks (such as the use of only discrete variables in case of exact inference calculations). The computational tool developed for the methodology mentioned is briefly described together with the application to a real-case study. The related results are discussed and compared to those previously obtained by traditional Bayesian Network analysis. Finally, a brief discussion about the advantages and drawbacks of the approach adopted is provided.
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