Cai Yao, Hu Huasi, Pan Ziheng, Hu Guang, Zhang Tao
School of Nuclear Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
School of Nuclear Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Appl Radiat Isot. 2018 Sep;139:169-174. doi: 10.1016/j.apradiso.2018.05.009. Epub 2018 May 17.
To optimize the shield for neutrons and gamma rays compact and lightweight, a method combining the structure and components together was established employing genetic algorithms and MCNP code. As a typical case, the fission energy spectrum of U which mixed neutrons and gamma rays was adopted in this study. Six types of materials were presented and optimized by the method. Spherical geometry was adopted in the optimization after checking the geometry effect. Simulations have made to verify the reliability of the optimization method and the efficiency of the optimized materials. To compare the materials visually and conveniently, the volume and weight needed to build a shield are employed. The results showed that, the composite multilayer material has the best performance.
为了优化中子和伽马射线屏蔽体使其紧凑且轻便，采用遗传算法和MCNP程序建立了一种将结构与组件相结合的方法。作为一个典型案例，本研究采用了混合中子和伽马射线的铀裂变能谱。通过该方法给出并优化了六种材料。在检查几何效应后，优化过程采用球形几何结构。进行了模拟以验证优化方法的可靠性和优化材料的效率。为了直观且方便地比较这些材料，采用了构建屏蔽体所需的体积和重量。结果表明，复合多层材料具有最佳性能。
