| 蔡祥鸣,罗园.多层屏蔽体在γ辐射下的多目标优化[J].南华大学学报(自然科学版),2019,33(4):12~18, 26.[CAI Xiangming,LUO Yuan.Multiple-objective Optimization of Multilayer Shield in γ-ray Radiation Environment[J].Journal of University of South China(Science and Technology),2019,33(4):12~18, 26.] |
| 多层屏蔽体在γ辐射下的多目标优化 |
| Multiple-objective Optimization of Multilayer Shield in γ-ray Radiation Environment |
| 投稿时间：2018-12-26 |
| DOI： |
| 中文关键词: 多层屏蔽体 多目标优化 二次优化 核屏蔽材料 γ辐射 |
| 英文关键词:multi-layer shielding multi-objective optimization secondary optimization nuclear shielding material gamma radiation |
| 基金项目: |
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| 摘要点击次数: 804 |
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| 中文摘要: |
| 在γ射线下对多层屏蔽体的性能进行函数建模,并采用遗传算法多目标优化思想对多层屏蔽材料就屏蔽性能、质量以及造价三个方面进行多目标优化,通过帕累托迭代和评价函数的甄别得到最优解。与此同时,将应用蒙特卡罗软件MCNP模拟计算γ辐射环境下的多种排列方式,通过对比多种方案的数据来确定多层屏蔽体多目标优化的最佳方案。通过与数据库的数据对照,以及多种方案结果的对比,证明了该种方法的可行性和正确性。 |
| 英文摘要: |
| The performance of the multi-layered shield is functionally modeled under γ-ray,and the multi-objective optimization idea of genetic algorithm is used to optimize the multi-objective properties of the shieldingperformance,quality and cost of the multi-layer shielding material through Pareto iteration and the evaluation function is discriminated to obtain the optimal solution.At the same time,the Monte Carlo software MCNP simulation is applied to calculate various arrangements in the γ-radiation environment,and the multi-objective optimization of the multi-layer shield is determined by comparing the data of various schemes.The feasibility and correctness of the method are proved by comparing with the data of the database and the comparison of the results of various programs. |
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