摘要
为了探究复合防护材料中不同屏蔽物质配比所能够实现最佳防护的效果,基于遗传算法设计了各类防护功能粒子制备复合防护材料的最优化配比模型。以氧化硼、氧化钆和氧化钨三种功能粒子为例,按照光子和中子在物质中的衰减规律,分别构建了模型得出具体结果所需的光子目标函数和中子目标函数,引入实例,利用Matlab实验室软件中的遗传算法计算出最优解集。使用MCNP程序在Matlab仿真实验室中进行仿真验证,找出最优解集中的最优解,验证了模型的可行性。
In order to explore the optimal protective effect of different shielding materials in composite protective materials, the optimal proportion model of composite protective materials prepared by all kinds of protective functional particles was designed based on genetic algorithm. Taking boron oxide, gadolinium oxide and tungsten oxide as examples, according to the attenuation law of photons and neutrons in matter, the photon objective function and neutron objective function needed by the model to obtain specific results are constructed respectively, and an example is introduced to calculate the optimal solution set by using genetic algorithm in Matlab laboratory software. The simulation verification is carried out by using the MCNP program in the Matlab simulation laboratory,the optimal solution of the optimal solution set is found, and the feasibility of the model is verified.
出处
《科技创新与应用》
2020年第18期21-23,共3页
Technology Innovation and Application
关键词
遗传算法
防护
复合材料
MCNP模拟
genetic algorithm
protection
composite materials
MCNP simulation
