Paper Info
Title
Invariant methods for an ensemble-based sensitivity analysis of a passive containment cooling system of an AP1000 nuclear power plant.
Abstract
Sensitivity Analysis (SA) is performed to gain fundamental insights on a system behavior that is usually reproduced by a model and to identify the most relevant input variables whose variations affect the system model functional response. For the reliability analysis of passive safety systems of Nuclear Power Plants (NPPs), models are Best Estimate (BE) Thermal Hydraulic (TH) codes, that predict the system functional response in normal and accidental conditions and, in this paper, an ensemble of three alternative invariant SA methods is innovatively set up for a SA on the TH code input variables. The ensemble aggregates the input variables raking orders provided by Pearson correlation ratio, Delta method and Beta method. The capability of the ensemble is shown on a BE–TH code of the Passive Containment Cooling System (PCCS) of an Advanced Pressurized water reactor AP1000, during a Loss Of Coolant Accident (LOCA), whose output probability density function (pdf) is approximated by a Finite Mixture Model (FMM), on the basis of a limited number of simulations.
Year
DOI
Venue
2016
10.1016/j.ress.2015.10.006
Reliability Engineering & System Safety
Keywords
Field
DocType
Invariant sensitivity analysis methods,Pearson correlation ratio,Delta method,Beta Method,AP1000 Nuclear Power Plant,Ensemble of methods
Pressurized water reactor,Pearson product-moment correlation coefficient,Thermal hydraulics,Control theory,Loss-of-coolant accident,Invariant (mathematics),Engineering,Statistics,Probability density function,Delta method,System model
Journal
Volume
ISSN
Citations 
151
0951-8320
2
PageRank 
References 
Authors
0.40
5
4
Name
Order
Citations
PageRank
Francesco Di Maio112414.20
Giancarlo Nicola220.40
E. Borgonovo329832.47
Enrico Zio4777.43