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RELAP5 Code Uncertainty Analysis of LSTF Small Break LOCA Tests with Steam Generator Intentional Depressurization as an Accident Management Procedure

机译:带有蒸汽发生器故意降压作为事故管理程序的LSTF小断裂LOCA测试的RELAP5代码不确定性分析

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The Best Estimate Plus Uncertainty (BEPU) method is applied to analysis of the 'intentional depressurization of steam generator secondary side' which is an accident management procedure in a small break loss-of-coolant accident with high pressure injection system failure. In the present study, experimental analyses using the RELAP5/MOD3.2 code were carried out for the ROSA/Large Scale Test Facility (LSTF) secondary-side depressurization tests. The two test cases were selected with different break sizes and different depressurization conditions to ensure the reliability for the accident scenario analyses. The input parameter uncertainty propagation analyses were performed to get 95%/95% tolerance limit values of the output parameters. It was confirmed that the code predicted well the major event progressions of the accident for both test cases and the 95%/95% uncertainty bounds of the peak cladding temperatures included the measured values. On the other hand, the same ranges of some input uncertainty parameters could lead to different influences on the output uncertainties between the test cases. The dominating input uncertainty parameters could be different depending on the break sizes and depressurization conditions of the accident scenario.
机译:最佳估计加不确定度(BEPU)方法用于分析“蒸汽发生器次级侧的有意减压”,这是在高压注入系统故障的小破损冷却液损失事故中的事故管理程序。在本研究中,使用RELAP5 / MOD3.2代码对ROSA /大型测试设备(LSTF)二次侧降压测试进行了实验分析。选择了两个测试案例,这些案例具有不同的中断大小和不同的减压条件,以确保事故场景分析的可靠性。进行输入参数不确定度传播分析,得到输出参数的95%/ 95%公差极限值。可以确认,该代码很好地预测了两个测试案例的事故的主要事件进展,并且峰值包层温度的95%/ 95%不确定性范围包括了测量值。另一方面,某些输入不确定性参数的相同范围可能导致对测试用例之间输出不确定性的不同影响。输入的主要不确定性参数可能会有所不同,具体取决于事故场景的中断大小和降压条件。

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