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蒙特卡洛和基于机器学习的铁缩合金对核辐射屏蔽应用的评估

Sevda Saltık¹, Ozan Kıyıkcı¹, Türkan Akman¹

¹Department of Physics, Faculty of Science, Ataturk University, 25240 Erzurum, Turkey.

Materials (Basel, Switzerland)

|June 13, 2025

概括

富含铁的合金在核应用中显示出有前途的辐射屏蔽性能. 更高的铁含量增强了马衰减和带电粒子屏蔽,提供了一种轻量级的双重功能材料.

科学领域:

材料科学材料科学材料科学
核工程核工程是指核工程.
计算物理计算物理

背景情况:

开发先进的辐射屏蔽材料对于核安全和下一代技术至关重要.
传统的屏蔽材料往往面临着重量,结构完整性或双重功能的限制.

研究的目的:

研究富含Fe的Al基合金 (Al-Fe-Mo-Si-Zr) 的辐射屏蔽能力.
为了评估不同铁含量对光子和带电粒子衰减的影响.
评估这些合金在核应用中的潜力.

主要方法:

混合计算方法结合蒙特卡洛模拟,机器学习 (ML) 预测 (多层感知子),EpiXS和SRIM.
计算关键的光子相互作用参数:质量衰减系数 (MAC),半值层 (HVL),积累因子和有效原子数 (Zeff).
带电粒子运输和快速中子衰减的建模.

主要成果:

在基于Al的合金中增加Fe含量会增加马衰减,7.21Fe合金显示最大MAC和最小HVL.
机器学习模型准确地预测了MAC,验证了人工智能辅助的材料评估.
根据SRIM的计算,对具有更高Fe含量的质子和α粒子的预测范围减少了.
7.21Fe合金表现出显著的快速中子去除截面 (ΣR),与混凝土相比.

结论:

富含铁的Al基合金具有优异的双重功能辐射屏蔽特性 (光子,带电粒子,中子).
这些合金提供了轻量级设计,结构稳定性和有效屏蔽的有利组合.
富含铁的Al基合金是高辐射环境中先进保护系统的强有力的候选者.

关键词:

合金是一种合金.富含铁的富含铁的蒙特卡罗的蒙特卡罗是一个非常好的城市.玛玛玛是一个机器学习是机器学习.屏蔽屏蔽屏蔽屏蔽屏蔽

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