Condition-based probabilistic safety assessment of a spontaneous steam generator tube rupture accident scenario

Francesco Di Maio (1) , Federico Antonello (1) , Enrico Zio (2, 3, 4)

1 Dipartimento di Energia [Milano]
2 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec
3 LGI - Laboratoire Génie Industriel - EA 2606
4 CentraleSupélec

Condition-Based Probabilistic Safety Assessment (CB-PSA) makes use of the information made available during operation by sensors and/or inspections on the state of components and systems. This allows specializing the PSA to the conditions of the components and systems, reducing the uncertainty on the risk measures quantified. In this paper, we demonstrate the CB-PSA with reference to a spontaneous Steam Generator Tube Rupture (SGTR) accident scenario in a Pressurized Water Reactor (PWR). Results show that the updated risk measures are capable of reflecting the actual state of the SG in the tailored risk evaluation.

Mots clés: Probabilistic Safety Assessment (PSA); Living PSA (LPSA); Condition-based PSA (CB- PSA); Steam Generator (SG); SG tube rupture (SGTR)

Domaines: Statistiques [stat]

Francesco Di Maio, Federico Antonello, Enrico Zio. Condition-based probabilistic safety assessment of a spontaneous steam generator tube rupture accident scenario. Nuclear Engineering and Design, 2018, 326, pp.41 - 54. ⟨10.1016/j.nucengdes.2017.10.020⟩. ⟨hal-01786565⟩