Development of a one-dimensional system code for the analysis of downward air-water two-phase flow in large vertical pipes

被引:0
|
作者
Hwang, Donkoan [1 ]
Kang, Soon Ho [3 ]
Choi, Nakjun [1 ]
Jo, Hangjin [1 ,2 ,4 ]
机构
[1] POSTECH, Div Adv Nucl Engn, Pohang 790784, South Korea
[2] POSTECH, Dept Mech Engn, Pohang 790784, South Korea
[3] Korea Inst Nucl Safety KINS, Daejeon 305338, South Korea
[4] POSTECH, Div Adv Nucl Engn, Dept Mech Engn, Pohang 790784, South Korea
关键词
Thermal-hydraulic system code; Frictional pressure gradient in two-phase flow; Large vertical pipes; Two-phase flow; Two-phase multiplier; Drift-flux model; Void fraction; FRICTIONAL PRESSURE-DROP;
D O I
10.1016/j.net.2023.08.023
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
In nuclear thermal-hydraulic system codes, most correlations used for vertical pipes, under downward two-phase flow, have been developed considering small pipes or pool systems. This suggests that there could be uncertainties in applying the correlations to accident scenarios involving large vertical pipes owing to the difference in the characteristics of two-phase flows, or flow conditions, between large and small pipes. In this study, we modified the Multi-dimensional Analysis of Reactor Safety KINS Standard (MARS-KS) code using correlations, such as the drift-flux model and two-phase multiplier, developed in a plant-scale air-inflow experiment conducted for a pipe of diameter 600 mm under downward two-phase flow. The results were then analyzed and compared with those based on previous correlations developed for small pipes and pool conditions. The modified code indicated a good estimation performance in two plant-scale experiments with large pipes. For the siphonbreaking experiment, the maximum errors in water flow for modified and original codes were 2.2% and 30.3%, respectively. For the air-inflow accident experiment, the original code could not predict the trend of frictional pressure gradient in two-phase flow as (jg)/(j) increased, while the modified MARS-KS code showed a good estimation performance of the gradient with maximum error of 3.5%.
引用
收藏
页码:19 / 33
页数:15
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