Parameter importance ranking for SBLOCA of CPR1000 with moment-independent sensitivity analysis
| Autor: | Jianqiang Shan, Junli Gou, Qingwen Xiong |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
020209 energy
SBLOCA CPR1000 02 engineering and technology 030218 nuclear medicine & medical imaging law.invention 03 medical and health sciences 0302 clinical medicine law Statistics Nuclear power plant 0202 electrical engineering electronic engineering information engineering Figure of merit Sensitivity (control systems) Importance ranking Mathematics BEPU Measure (data warehouse) Pressurized water reactor lcsh:TK9001-9401 Moment (mathematics) Nuclear Energy and Engineering Ranking lcsh:Nuclear engineering. Atomic power Sensitivity analysis Loss-of-coolant accident |
| Zdroj: | Nuclear Engineering and Technology, Vol 52, Iss 12, Pp 2821-2835 (2020) |
| ISSN: | 1738-5733 |
| DOI: | 10.1016/j.net.2020.05.031 |
| Popis: | The phenomenon identification and ranking table (PIRT) is an important basis in the nuclear power plant (NPP) thermal-hydraulic analysis. This study focuses on the importance ranking of the input parameters when lacking the PIRT, and the target scenario is the small break loss of coolant accident (SBLOCA) in a pressurized water reactor (PWR) CPR1000. A total of 54 input parameters which might have influence on the figure of merit (FOM) were identified, and the sensitivity measure of each input on the FOM was calculated through an optimized moment-independent global sensitivity analysis method. The importance ranking orders of the parameters were transformed into the Savage scores, and the parameters were categorized based on the Savage scores. A parameter importance ranking table for the SBLOCA scenario of the CPR1000 reactor was obtained, and the influences of some important parameters at different break sizes and different accident stages were analyzed. |
| Databáze: | OpenAIRE |
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