对MCNP和微屏剂量节约的测定进行了比较,用于超污染特征的远程方法
Justina A M Freilich1, Camille J Palmer
1Oregon State University, School of Nuclear Science and Engineering, 151 Batcheller Hall, 1791 SW Campus Way, Corvallis, OR 97331.
Health physics
|August 27, 2024
概括
机器人系统可以减少核废物表征过程中的工人辐射暴露. 这项研究使用辐射传输代码量化剂量和成本的节约,发现了可变但显著的潜在好处.
科学领域:
- 核工程 核工程是指核工程.
- 辐射保护 辐射保护
- 机器人技术 机器人技术 机器人技术
背景情况:
- 机器人和远程系统的进步使其在核工作中得到更广泛的应用.
- 目前的技术往往仅限于高剂量/高风险任务,有可能扩展到中等或低风险活动.
- 减少工人辐射暴露是核运营的首要目标.
研究的目的:
- 量化使用机器人技术对超污染废物进行表征的潜在辐射剂量节约.
- 为了比较从确定性 (MicroShield) 和蒙特卡洛 (MCNP) 辐射传输代码的剂量估计.
- 通过损害成本分析评估剂量节约的财务影响.
主要方法:
- 模拟了使用代表性源体几何形状的三种超废物场景.
- 使用MicroShield和MCNP辐射传输代码进行剂量率估计.
- 在30厘米至300厘米的距离上计算剂量速率,以模拟机器人系统实施.
主要成果:
- 辐射传输模拟显示MicroShield和MCNP之间没有一致的偏差,取决于几何和代码的变化.
- 在MCNP模拟中显示,体积源产生的剂量比板块源更高,而这种趋势在MicroShield中并不总是观察到.
- 剂量节省范围从1.60×10-5到1.75×101微Sv/h,损害成本节省范围从<0.010美元到每人每小时14美元.
结论:
- 机器人系统提供了一种可行的方法,可以在核废物表征过程中减少工人辐射暴露.
- 确定性和蒙特卡洛代码都可以用于剂量估计,尽管存在方法上的差异.
- 通过实施机器人表征技术,可以大大节省剂量和成本.
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