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BEST ESTIMATE ANALYSIS OF MAANSHAN PWR LBLOCA BY TRACE COUPLING WITH DAKOTA

机译:用DAKOTA进行痕量偶联的马山压水堆最佳估计分析。

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This research is focused on the Large Break Loss of Coolant Accident (LBLOCA) analysis of the Maanshan power plant by TRACE-DAKOTA code. In the acceptance criteria for Loss of Coolant Accidents (LOCAs), there are two accepted analysis methods: conservative methodology and best estimate methodology. Compared with conservative methodology, the best estimate and realistic input data with uncertainties to quantify the limiting values i.e., Peak Cladding Temperature (PCT) for LOCAs analysis. By the conservative methodology, the PCTcm (PCT calculated by conservative methodology) of Maanshan power plant LBLOCA calculated is 1422K. On the other hand, there are six key parameters taken into account in the uncertainty analysis in this study. In PCT_(95/95) (PCT of 95/95 confidence level and probability) calculation, the PCT_(95/95) is 1369K lower than the PCT_(CM) (1422K). In addition, the partial rank correlation coefficients between input parameters and PCT indicate that accumulator pressure is the most sensitive parameter in this study.
机译:这项研究的重点是利用TRACE-DAKOTA代码对马鞍山电厂的冷却液事故大损失损失(LBLOCA)进行分析。在冷却剂事故损失(LOCA)的接受标准中,有两种公认的分析方法:保守方法和最佳估计方法。与保守方法相比,最佳估计值和具有不确定性的实际输入数据可以量化极限值,即用于LOCA分析的峰值熔覆温度(PCT)。通过保守方法,计算出的马鞍山电厂LBLOCA的PCTcm(通过保守方法计算的PCT)为1422K。另一方面,在这项研究的不确定性分析中考虑了六个关键参数。在PCT_(95/95)(95/95置信度和概率的PCT)计算中,PCT_(95/95)比PCT_(CM)(1422K)低1369K。此外,输入参数与PCT之间的偏秩相关系数表明蓄压器压力是本研究中最敏感的参数。

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