新型核辐射屏蔽材料的优化设计

  • 摘要: 为研制兼具质地轻、体积小、耐高温等特点的新型中子、γ混合辐射屏蔽材料,用遗传算法建立了屏蔽材料优化设计方法。对应用该方法设计出的3种材料进行MCNP软件检验,并与铁等材料进行比较。结果表明:在达到一定厚度后,这些材料对裂变中子、γ的总屏蔽效果均超过铁,且相同屏蔽效果下的铁质量当量显著下降。

     

    Abstract: Optimized in lightweight, compactness and high temperature sustaining the shielding materials for neutron and gamma radiation were designed based on genetic algorithms. Three kinds of materials studied by this method were designed and simulated with MCNP code, and results were compared with those from iron etc. The total shielding effects of the materials with certain thickness for fission neutron and γ-ray are all much better than iron, and the equivalent masses are lower than iron at same shielding effect.

     

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