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Uncertainty Analysis of an Interfacial Area Reconstruction Algorithm

机译:界面区域重构算法的不确定性分析

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Wire mesh sensors (WMS) are state of the art devices that allow high resolution (in space and time) measurement of 2D void fraction distribution in any two-phase flow regime. Data using WMS have been recorded at the Helmholtz Zentrum Dresden Rossendorf (HZDR) for a wide combination of superficial gas and liquid velocities, providing an excellent database for advances in two-phase flow modeling. In two-phase flow, the interfacial area plays an integral role in coupling the mass, momentum and energy transport equations of the liquid and gas phase. While current models used in best-estimate thermal-hydraulic codes (e.g. RELAP5, TRACE, TRACG, etc.) are still based on algebraic correlations for the estimation of the interfacial area in different flow regimes, interfacial area transport equations (IATE) have been proposed to predict the dynamic propagation in space and time of interfacial area. IATE models are still under development and the HZDR WMS experiments would provide an excellent basis for the validation and further advance of these models. The current paper is focused on the algorithms used to reconstruct interfacial area densities from the void-fraction voxel data measured using WMS. In previous research efforts, a surface triangularization algorithm has been developed in order to estimate the surface area of individual bubbles recorded with the WMS, and estimate the interfacial area in the given flow condition. In the present paper, synthetically generated bubbles are used to assess the algorithm's accuracy. As the interfacial area of the synthetic bubbles are defined by user inputs, the error introduced by the algorithm can be quantitatively obtained. In the present paper, the accuracy of interfacial area measurements is characterized for different bubbles sizes and shapes, and for different WMS acquisition frequencies. It is found that while convex shapes are successfully analyzed by the reconstruction algorithm, difficulties are faced when concave shapes such as internal cavities are introduced.
机译:丝网传感器(WMS)是最先进的设备,可在任何两相流态中高分辨率(在空间和时间上)测量2D空隙率分布。使用WMS的数据已在Helmholtz Zentrum Dresden Rossendorf(HZDR)上进行了记录,记录了气体和液体表面速度的广泛组合,为两相流建模的发展提供了极好的数据库。在两相流中,界面面积在耦合液相和气相的质量,动量和能量传输方程中起着不可或缺的作用。虽然目前用于最佳估计热工液压代码(例如RELAP5,TRACE,TRACG等)的模型仍基于代数相关性,以估计不同流态下的界面面积,但界面面积传输方程(IATE)已被采用提出了预测界面区域的时空动态传播的方法。 IATE模型仍在开发中,HZDR WMS实验将为这些模型的验证和进一步发展提供良好的基础。当前的论文集中在用于从使用WMS测量的空隙率体素数据重建界面面积密度的算法上。在先前的研究工作中,已经开发了一种表面三角化算法,以便估计用WMS记录的单个气泡的表面积,并估计给定流动条件下的界面面积。在本文中,使用合成生成的气泡来评估算法的准确性。由于合成气泡的界面区域由用户输入定义,因此可以定量获得算法引入的误差。在本文中,针对不同气泡尺寸和形状以及不同WMS采集频率来表征界面面积测量的准确性。结果发现,虽然通过重构算法成功地分析了凸形,但是当引入诸如内腔的凹形时会遇到困难。

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