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经过试算,openmc产生的多群常数与自编的基于mcnp5的多群常数是一致的,但是openmc的优势在于可以并行计算,而基于mcnp5是再分析track 文件Ptrac,而其计算模式中,要产生track文件只能采用串行计算模式。
openmc中的群常数计数功能如下表所示:
验证
验证结果显示:在能群足够精细的时候,openmc计算的群常数的OpenMOC计算结果keff与openmc吻合非常好。
表 OpenMOC与openmc的基准题keff偏差(pcm)
OpenMOC采用基于Python的使用习惯,因此,使用OpenMC的Python API进行群常数的后处理,同时可以通过OpenMOC的模型转换Python API进行二者之间模型的直接转换。之后就可以接续计算,完成对比分析。
图 openmoc与openmc之间的逐点裂变反应率相对误差(%)
These results confirm the expectation that multigroup calculations with finer-energy discretizations should in general be more consistent with MC reference solutions. However, it is emphasized that while these results illustrate the effectiveness of OpenMC’sMGXS generation module, they are not intended to provide comprehensive guidance on the efficacy of different energy group structures for solving high-fidelity neutron transport problems.
典型核素的散射矩阵绘图
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