UNCERTAINTY ANALYSIS IN PROBABILISTIC RISK ASSESSMENT
The work presents the RSM modelling approach for uncertainty analysis in probabilistic risk assessment. Such approach introduces in the present context some interesting aspects: - it enables one to perform a more accurate tuning of the stages of the accident process in the evaluation of the risk and hence is a step forward in respect to the classical probabilistic risk assessment; - it requires the use of models which reproduce even roughly the mechanisms of the accident; - it draws attention to the need for a different quality of information on the physics of the accident process. As an example data about pressure in the system or in the pressurizer, about temperature and other variables during a normal transient in a nuclear power plant.
Bibliographic Reference: 4TH EUREDATA CONFERENCE, VENEZIA (ITALY), MARCH 23- 25, 1983 WRITE TO CEC LUXEMBOURG, DG XIII/A2, POB 1907 MENTIONING PAPER E 31291 ORA
Availability: Can be ordered online
Record Number: 1989122056500 / Last updated on: 1987-01-01
Available languages: en