SS 2. Integrated Deterministic and Probabilistic Computational Safety Assessment (IDPSA) | |
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Date | Oct. 3 (Mon) |
Time | 13:30-17:20 |
Venue | Vista Hall (B2) |
Organizers |
Francesco DI MAIO (Politecnico Di Milano, Italy) Enrico ZIO (CentraleSupelec And Politecnico Di Milano, Italy) Curtis SMITH (Idaho National Laboratory, United States) |
Overview | |
Traditionally, regulation of design and operation of Nuclear Power Plants (NPPs) have been based on Deterministic Safety Assessment (DSA) methods to verify criteria that assure plant safety in a number of postulated design basis accident scenarios. These criteria also allow identifying which plant Structures, Systems and Components (SSCs) and activities are important to safety. Design, operation and maintenance of these “safety-related” SSCs and activities are controlled through regulatory requirements and supported by extensive Probabilistic Safety Assessment (PSA). A medium-term challenge is to combine the use of deterministic and probabilistic computational approaches in an Integrated Deterministic and Probabilistic Safety Analysis (IDPSA), and tackle the related problems of addressing aleatory (stochastic aspects of accident scenarios) and epistemic (model and parameters) uncertainties in a consistent manner. Open issues and challenges of IDPSA to be addressed include, among others: • Reduction of the computational burden of TH models, thanks to larger employment of meta-models for multi-parameter and non-linear modelling, and exploration of the space of combinatorial plant scenarios. • Consistent treatment of different sources of uncertainties; • Identification and characterization of a priori unknown vulnerable scenarios, or “sleeping threats”; • Description of the time-dependent interactions between physical phenomena, equipment failures, safety and non-safety systems interactions, control logic, operator actions; • Reduction of reliance on expert judgment and simplifying assumptions about interdependencies; |
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Speakers | |