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Uncertainty Analysis of an Interfacial Area Reconstruction Algorithm

机译:界面区域重建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:线网格传感器(WMS)是允许在任何两相流状态下的高分辨率(空间和时间)测量2D空隙分数的高分辨率(在空间和时间)。使用WMS的数据已在Helmholtz Zentrum Dresden Rossendorf(HZDR)上记录,以实现浅表气体和液体速度的宽组合,为两相流量建模提供了优秀的数据库。在二相流,界面区域起着耦合所述液体和气体相的质量,动量和能量输运方程不可或缺的作用。虽然最佳估计的热液压码(例如Relap5,迹线,Tracg等)使用的当前模型仍然基于用于估计不同流动制度中的界面区域的代数相关性,但是界面区域传输方程(IAI)已经存在建议预测界面区域的空间和时间中的动态传播。 IA级模型仍在开发中,HZDR WMS实验将为验证和这些模型的进一步提前提供优异的基础。目前的纸张专注于用于从使用WMS测量的空隙部分体素数据重建界面区域密度的算法。在以前的研究工作中,已经开发了一种表面三角化算法,以估计用WMS记录的各个气泡的表面积,并估计给定流量条件中的界面区域。在本文中,合成产生的气泡用于评估算法的准确性。随着合成气泡的界面区域由用户输入定义,可以定量地获得算法引入的误差。在本文中,界面区域测量的精度表征了不同的气泡尺寸和形状,以及不同的WMS采集频率。结果发现,当通过重建算法成功分析凸形形状时,当引入诸如内腔的凹形形状时,难以面临困难。

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