Skip to Main content Skip to Navigation
Journal articles

A Regional Sensitivity Analysis-based Expert System for safety margins control

Abstract : Thermal-Hydraulic (TH) codes are used to simulate the response of nuclear safety systems under transient and accident conditions. The outcomes of the simulations are used to verify the safety margins required for safe operation and make decisions on how to maintain them. In this work, a novel Expert System (ES) based on Regional Sensitivity Analysis (RSA) is developed to guide a system undergoing an accident scenario towards the safest conditions in the optimal number of operation. The ES proceeds by firstly identifying the (uncertain) system controllable variables (i.e., control rods position, feed-water flow rate, void fraction inside the steam generator, etc.) that most affect the system response by RSA; then, the limit-state function is calibrated on a dataset of outcomes of TH code runs and the system failure boundary (i.e., the limit surface) is defined on the set of (uncertain) TH input variables. Application of the ES is firstly shown with respect to an analytical case study that artificially simulates the response of a NPP to an accident scenario and, then, to a practical case study concerning the response of the pressurizer of a Pressurized Water Reactor (PWR).
Document type :
Journal articles
Complete list of metadatas

https://hal-centralesupelec.archives-ouvertes.fr/hal-01786566
Contributor : Zhiguo Zeng <>
Submitted on : Thursday, March 19, 2020 - 6:04:55 PM
Last modification on : Wednesday, July 15, 2020 - 10:36:13 AM
Long-term archiving on: : Saturday, June 20, 2020 - 3:59:54 PM

File

2018_A-Regional-Sensitivity-An...
Files produced by the author(s)

Identifiers

Citation

Francesco Di Maio, Alessandro Bandini, Michele Damato, Enrico Zio. A Regional Sensitivity Analysis-based Expert System for safety margins control. Nuclear Engineering and Design, Elsevier, 2018, 330, pp.400 - 408. ⟨10.1016/j.nucengdes.2018.01.002⟩. ⟨hal-01786566⟩

Share

Metrics

Record views

357

Files downloads

714