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A HYBRID MONTE CARLO AND RESPONSE MATRIX MONTE CARLO METHOD IN CRITICALITY CALCULATION

机译:一种杂交蒙特卡罗和响应矩阵蒙特卡罗方法在临界计算中

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Full core calculations are very useful and important in reactor physics analysis, especially in computing the full core power distributions, optimizing the refueling strategies and analyzing the depletion of fuels. To reduce the computing time and accelerate the convergence, a method named Response Matrix Monte Carlo (RMMC) method based on analog Monte Carlo simulation was used to calculate the fixed source neutron transport problems in repeated structures. To make more accurate calculations, we put forward the RMMC method based on nonanalog Monte Carlo simulation and investigate the way to use RMMC method in criticality calculations. Then a new hybrid RMMC and MC (RMMC+MC) method is put forward to solve the criticality problems with combined repeated and flexible geometries. This new RMMC+MC method, having the advantages of both MC method and RMMC method, can not only increase the efficiency of calculations, also simulate more complex geometries rather than repeated structures. Several 1 -D numerical problems are constructed to test the new RMMC and RMMC+MC method. The results show that RMMC method and RMMC+MC method can efficiently reduce the computing time and variations in the calculations. Finally, the future research directions are mentioned and discussed at the end of this paper to make RMMC method and RMMC+MC method more powerful.
机译:全核计算在反应堆物理分析中非常有用,特别是在计算全核心电力分布方面,优化加油策略并分析燃料的消耗。为了减少计算时间并加速收敛,使用基于模拟蒙特卡罗模拟的命名响应矩阵蒙特卡罗(RMMC)方法的方法来计算重复结构中的固定源中子传输问题。为了更准确的计算,我们提出了基于非诺拉蒙特卡罗模拟的RMMC方法,并调查在临界计算中使用RMMC方法的方法。然后提出了一种新的混合RMMC和MC(RMMC + MC)方法来解决组合重复和柔性几何形状的临界问题。这种新的RMMC + MC方法,具有MC方法和RMMC方法的优点,不仅可以提高计算效率,还模拟了更复杂的几何形状而不是重复的结构。构建了几个1 -d数值问题以测试新的RMMC和RMMC + MC方法。结果表明,RMMC方法和RMMC + MC方法可以有效地降低计算的计算时间和变化。最后,在本文结束时提到并讨论了未来的研究方向,以使RMMC方法和RMMC + MC方法更强大。

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