Enhancement of Reflood Test Prediction by Integrating Machine Learning and Data Assimilation Technique

Table 2

The physical models implemented in STARU for the MARS code.

No.	Type	Parameter descriptions	Uncertainty (%)
1	Entrainment coefficient	Multiplier for droplet number for reflood	60
2	Dry/wet criteria	Multiplier for dry/wet wall criteria 30°C	60
3	Wall friction factors	Multiplier for the two-phase wall friction for the specified components	60
4	Interfacial drag model	Multiplier for the interfacial drag model for the specified components	30
5	Interfacial heat transfer model	Multiplier for the interfacial heat transfer model for the specified components	60
6	Correlations	Multiplier for liquid Dittus-Boelter correlation	60
7		Multiplier for Chen nucleate boiling model	60
8		Multiplier for AECL CHF value	60
9		Multiplier for Chen transition boiling model	60
10		Multiplier for Bromley film boiling model	60
11		Multiplier for vapor Dittus-Boelter correlation	60
12		Multiplier for Zuber CHF correlation	60
13		Multiplier for modified Weismann correlation	60
14		Multiplier for QF film boiling correlation	60
15		Multiplier for Forslund-Rohsenow correlation	60
16		Multiplier for reflood superheated vapor correlation	60