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UNCERTAINTY ANALSIS OF FUEL LATTICE PHYSICS USING CASMO-4 WITH JENDL-4.0 COVARIANCE DATA

机译:利用CAMEO-4和JENDL-4.0协方差数据对燃油晶格物理的不确定性分析

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Uncertainty analyses with respect to the nuclear covariance data are performed for BWR and PWR fuel lattices specified in the framework of UAM-LWR Benchmark Phase Ⅰ. In order to evaluate the uncertainties of fuel lattice calculations due to the nuclear data uncertainties, the uncertainty analysis system using the Monte Carlo stochastic sampling method has been developed based on the lattice physics code CASMO-4. This system uses the JENDL-4.0, and it calculates the propagation of the nuclear data uncertainties represented by the nuclear covariance data into uncertainties of interest parameters. In the present study, the uncertainties of interest parameters due to nuclear data uncertainties such as neutron multiplication factors, pin power distributions and homogenized parameters in assembly models have been qualified. Then it was found that the uncertainty of the neutron multiplication factor due to nuclear data uncertainties in each model was less than 1 % dk/k. Furthermore, the uncertainties of pin power distribution in assembly models due to nuclear data uncertainties were up to approximately 0.5 %.
机译:针对UAM-LWR基准阶段Ⅰ框架中规定的BWR和PWR燃料晶格,对核协方差数据进行了不确定性分析。为了评估由于核数据不确定性引起的燃料晶格计算的不确定性,基于晶格物理代码CASMO-4,开发了使用蒙特卡洛随机抽样方法的不确定性分析系统。该系统使用JENDL-4.0,并计算将核协方差数据表示的核数据不确定性传播到感兴趣参数的不确定性中。在本研究中,由于核数据不确定性(例如中子倍增因子,销功率分布和装配模型中的均质化参数)而引起的感兴趣参数的不确定性已得到验证。然后发现,由于每个模型中的核数据不确定性,中子倍增因子的不确定性小于1%dk / k。此外,由于核数据不确定性,装配模型中引脚功率分布的不确定性高达约0.5%。

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