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首页> 外文期刊>Annals of nuclear energy >Improvement in the accuracy of SPACE prediction for the unblocked FLECHT SEASET reflood tests by data assimilation
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Improvement in the accuracy of SPACE prediction for the unblocked FLECHT SEASET reflood tests by data assimilation

机译：通过数据同化改进未解压缩的Flecht赛季空间预测精度的准确性

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摘要

This study aims to improve the reliability of the Safety and Performance Analysis Code (SPACE) prediction for reflooding phenomena. We utilized the data assimilation technique, which can improve the reliability of the system by adjusting the model parameters within their uncertainty limits, to enhance the accuracy of the cladding temperature, the quenching time, and the steam temperature prediction of SPACE for the reflood tests. The Fast Fourier Transform Based Method (FFTBM) was applied to examine the improvement of the SPACE code before and after the data assimilation process. We found that generally the investigation results of all the reflood tests were enhanced by using the sampling approach of data assimilation. Moreover, the large impact models that significantly contributed to the prediction accuracy of this problem were identified. One can focus on improving these models to enhance the calculation accuracy. (C) 2021 Elsevier Ltd. All rights reserved.
机译：本研究旨在提高对reshood现象的安全性和性能分析码（空间）预测的可靠性。 我们利用数据同化技术，可以通过调整其不确定性范围内的模型参数来提高系统的可靠性，以增强层状温度，淬火时间和蒸汽温度预测的灰色试验的准确性。 应用快速傅里叶变换的方法（FFTBM）来检查数据同化过程前后的空间代码的改进。 我们发现，通过使用数据同化的采样方法，通过所有反射试验的调查结果得到了增强。 此外，鉴定了显着促进了该问题的预测准确性的大冲击模型。 人们可以专注于改进这些模型以提高计算精度。 （c）2021 elestvier有限公司保留所有权利。

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