Petri-Net Simulation Model of a Nuclear Component Degradation Process

Yan-Fu Li (1) , Enrico Zio (1) , Yan-Hui Lin (2) , Mithlesh Kumar (2)

1 SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec
2 LGI - Laboratoire Génie Industriel - EA 2606

Multi physical state modeling (MPSM) is a novel approach being investigated for estimating the reliability of components and systems in the context of probabilistic risk assessment (PRA). The approach integrates multi-state modeling, which describes the degradation process by transitions among discrete states (e.g. initial, micro-crack, rupture, etc) and physical modeling by (physical) equations that govern the degradation process. In practice, the degradation process is non-Markovian and its transition rates are time-dependent and influenced by external factors such as temperature and stress. Under these conditions, it is in general difficult to derive the state probabilities analytically. On the contrary, Petri nets provide a flexible modeling framework for describing degradation processes with arbitrary transition rates. In this paper, we build a Petri net in support of Monte Carlo simulation of the stochastic aging behavior of a nuclear component undergoing stress corrosion cracking. The results are compared with analytical results derived in a previous work of literature.

Mots clés: Degradation process; Multi-state model; Petri net; Monte Carlo simulation

Domaines: Modélisation et simulation; Energie électrique

Yan-Fu Li, Enrico Zio, Yan-Hui Lin, Mithlesh Kumar. Petri-Net Simulation Model of a Nuclear Component Degradation Process. PSAM11 & ESREL 2012, Jun 2012, Finland. pp.1-10. ⟨hal-00737081⟩