克服被动玛辐射断层扫描模拟的计算成本,利用物理意识的减少顺序建模
Nicola Cavallini1,2, Riccardo Ferretti1, Gunnar Bostrom1
1European Commission, Joint Research Centre, Via Enrico Fermi, 21027, Ispra, VA, Italy.
Scientific reports
|September 12, 2023
概括
一种新的方法可以使用被动马辐射断层扫描 (PGET) 加快核燃料分析. 这种方法降低了模拟的计算成本,使使用过的核燃料组件的成像更快,更有效.
科学领域:
- 核工程 核工程是指核工程.
- 计算物理 计算物理
- 核安全保障措施 核安全保障
背景情况:
- 无源性玛辐射断层扫描 (PGET) 对于分析使用过的核燃料组件至关重要.
- 对于PGET分析,需要全面的数据集,但实验数据有限且昂贵.
- 蒙特卡洛模拟增强了数据集,但在计算上是昂贵的,特别是360度断层扫描.
研究的目的:
- 为了解决PGET的蒙特卡洛模拟的高计算成本.
- 开发一种方法,有效地创建PGET模拟场景的大型数据集.
- 为了实现实时,高保真度的PGET解决方案,计算成本仅占计算成本的一小部分.
主要方法:
- 开发了一种物理意识的减少顺序建模方法.
- 结合了有限视图方法 (角视图子集) 与实时前模型.
- 验证了该方法在从有限的数据中重建完整的360视图的准确性.
主要成果:
- 实现了对PGET模拟的实时,高保真解决方案.
- 显著降低了模拟360角度视图的计算成本.
- 从有限的角度数据证明了完全断层图像的准确重建.
结论:
- 开发的减少顺序建模方法有效降低了PGET模拟的计算成本.
- 这种方法可以有效地创建大型,高可靠性的PGET数据集.
- 该方法对各种反应堆燃料组件类型的准确分析具有前景.
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