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Chapitre D'ouvrage Année : 2018

Dynamic accident scenario generation, modeling and post-processing for the integrated deterministic and probabilistic safety analysis of nuclear power plants

Résumé

Integrated Deterministic and Probabilistic Safety Analysis (IDPSA) aims at analyzing, mainly by simulation, the evolution of accident scenarios in complex dynamic systems, accounting for the mutual interactions between failure and recovery of system components, the evolving physical processes, the control and operator actions, the software and the firmware. The analysis can be seen as composed of three successive steps, namely scenario generation, modeling and post-processing. Generation involves simulating an as complete and realistic as possible set of accident scenarios; modeling involves representing in a structured way the simulated scenarios; post-processing involves extracting from the simulated scenarios information relevant for the safety assessment of the system, in particular, untangling the safe scenarios from the prime implicants (PIs) (minimum combinations of failure events that are capable of leading the system into a fault state) and the near misses (NMs) (combinations of failure events that lead the system to a quasi-fault state, a condition close to accident). The three steps of the process of IDPSA are exemplified by the analysis of accident scenarios for a U-tube steam generator (UTSG) of a nuclear power plant (NPP). With reference to this case study, efficient methods for scenarios generation (specifically, Monte Carlo (MC) sampling and multi valued logic (MVL)), modeling (specifically, dynamic event tree (DET) and repairable DET (RDET)) and post-processing (specifically, evolutionary algorithms (EA) and clustering methods) are overviewe
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Dates et versions

hal-04364374 , version 1 (26-12-2023)

Identifiants

  • HAL Id : hal-04364374 , version 1

Citer

Francesco Di Maio, Enrico Zio. Dynamic accident scenario generation, modeling and post-processing for the integrated deterministic and probabilistic safety analysis of nuclear power plants. Advanced Concepts in Nuclear Energy Risk Assessment and Management, 69, pp.477-504, 2018, 9789813225619. ⟨hal-04364374⟩
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