Sensitivity and uncertainty analysis for ULOF of PGSFR using PAPIRUS
| Autor: | Jaeseok Heo, Kwi-Seok Ha, Chiwoong Choi, Sarah Kang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Propagation of uncertainty
Variables 020209 energy Nuclear engineering media_common.quotation_subject System identification Model parameters 02 engineering and technology Cladding (fiber optics) 01 natural sciences 010305 fluids & plasmas Coolant Nuclear Energy and Engineering Phase space 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Econometrics Environmental science Uncertainty analysis media_common |
| Zdroj: | Annals of Nuclear Energy. 110:1232-1241 |
| ISSN: | 0306-4549 |
| Popis: | In this research, sensitivity and uncertainty analyses for 23 parameters were performed for unprotected loss of flow (ULOF) for the prototype Gen-IV sodium-cooled fast reactor (PGSFR) by using the parallel computing platform integrated for uncertainty and sensitivity analysis (PAPIRUS). Based on the development of the phenomena and model identification and ranking table (PIRT), the relative importance of the parameters was confirmed through the sensitivity analysis. The objective of the global uncertainty analysis is to evaluate all safety parameters of the system in the combined phase space formed by the parameters and dependent variables. The uncertainty propagation was performed by mapping the uncertainty bands of the model parameters through the MARS-LMR to determine the distributions for the fuel centerline, cladding, and coolant temperatures. The results show that the uncertainty bands of the temperatures are below the melting point. |
| Databáze: | OpenAIRE |
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