基于确定性抽样的过冷沸腾边界条件不确定性分析

本文使用Fluent软件构建数学物理模型，对DEBORA过冷沸腾基准实验进行了数值模拟，并采用确定性抽样方法对模拟沸腾流动的边界条件不确定性进行分析，计算得到了主要径向参数分布的期望值和置信区间，分析了边界条件不确定性的影响趋势。此外，还计算得到了不确定性源对部分径向参数的影响权重。结果表明，流体入口温度和壁面热流密度的不确定性对径向空泡份额的影响较大，而运行压力和流体入口温度的不确定性是影响径向液体温度计算的主要因素。

Uncertainty Analysis on Boundary Condition in Subcooled Boiling Flow by Deterministic Sampling

In this work, the DEBORA subcooled boiling flow experiments were employed as benchmark and simulated by Fluent. The uncertainty from boundary conditions and its influence trend of the prediction of subcooled boiling flow were analyzed by using deterministic sampling method. The distributions of radial parameters were calculated and the confidence intervals were obtained. Besides, the uncertainty source contributions on radial parameters were also analyzed. The results show that the uncertainties of the inlet temperature and the wall heat flux play predominant roles on the prediction of radial void fraction, while the uncertainties of the operating pressure and the inlet temperature dominate calculation of radial liquid temperature.