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针对堆用蒙特卡罗程序(RMC)中的有效增殖系数(keff)敏感性分析功能,为提高计算效率并降低内存占用,在RMC中实现了分别基于下一代裂变中子数以及中子产生率的伴随注量率估计方法的2种并行策略,并使用无限均匀介质多群算例和连续能量算例对该功能进行验证。结果表明,2种并行策略所求得的敏感性系数均与解析解、蒙特卡罗粒子输运程序(MCNP6)的计算结果吻合良好,计算速度为MCNP6的3倍左右,统计不同核素的总截面敏感性系数的品质因子为MCNP6的4~8倍左右。
In order to improve the computational efficiency and reduce the memory footprint, aiming at the effective keff sensitivity analysis function of heap Monte Carlo (RMC), the RMC is based on the next generation fission neutron number and the neutron production rate The two parallel strategies of the method for estimating the spike rate are verified by using the multi-instance of infinite homogeneous medium and the continuous energy case. The results show that the sensitivity coefficients obtained by the two parallel strategies are in good agreement with the analytical results of the Monte Carlo particle transport program (MCNP6), the computational speed is about 3 times that of MCNP6, and the total number of different radionuclides The quality factor of cross-sectional sensitivity coefficient is about 4 ~ 8 times of MCNP6.