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从压水堆的Serpent2燃料耗尽计算中提取的UOX和MOX乏燃料的可观测量数据集。

Dataset of observables for UOX and MOX spent fuel extracted from Serpent2 fuel depletion calculations for PWRs.

作者信息

Casas-Molina Victor J, Hernandez-Solis Augusto, Romojaro Pablo, Merino-Rodríguez Ivan, Aguilera-Gómez Nerea

机构信息

Belgian Nuclear Research Centre (SCK CEN), Boeretang 200, 2400 Mol, Belgium.

Universidad Politécnica de Madrid (UPM), José Gutiérrez Abascal, 2, 28006 Madrid, Spain.

出版信息

Data Brief. 2023 Jul 13;49:109412. doi: 10.1016/j.dib.2023.109412. eCollection 2023 Aug.

DOI:10.1016/j.dib.2023.109412
PMID:37520646
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10371779/
Abstract

This database contains the isotopic mass density and the contribution to activity, decay heat, photon emission, spontaneous fission rate, (α,n) emission rates and radiotoxicity of 150 nuclides that are present in nuclear fuel irradiated in PWRs. These nuclides are of paramount importance for nuclear waste characterization and fuel cycle analysis. These values were obtained by depletion calculations based on a 3D pin-cell geometry model and performed with the Monte Carlo reactor physics burnup calculation code Serpent2, with state-of-the-art nuclear data libraries and relevant methods. The calculations cover a wide range of burnup levels for conventional PWRs and take into account both UOX and MOX fuel. A broad span for initial enrichment for UOX (from 1.5% to 6.0%), and for both the initial plutonium content (from 4.0% to 12.0% and the plutonium isotopic composition of MOX has been considered. This database has been made publicly available due to its relevance in the fields of waste and fuel characterization, nuclear safeguards and radiation protection, and it will allow other potential users to avoid the time-consuming calculations required to obtain the aforementioned data. Additionally, it constitutes an interesting dataset for model training in machine learning applications related to nuclear science and engineering.

摘要

该数据库包含压水堆中辐照核燃料中存在的150种核素的同位素质量密度以及对活度、衰变热、光子发射、自发裂变率、(α,n)发射率和放射性毒性的贡献。这些核素对于核废料表征和燃料循环分析至关重要。这些值是通过基于三维针状单元几何模型的燃耗计算获得的,并使用蒙特卡罗反应堆物理燃耗计算代码Serpent2以及最先进的核数据库和相关方法进行计算。计算涵盖了常规压水堆的广泛燃耗水平,并考虑了UO₂和MOX燃料。考虑了UO₂的初始富集度(从1.5%到6.0%)以及MOX的初始钚含量(从4.0%到12.0%)和钚同位素组成的广泛范围。由于该数据库在废料和燃料表征、核保障和辐射防护领域的相关性,已向公众公开,这将使其他潜在用户避免获取上述数据所需的耗时计算。此外,它构成了与核科学和工程相关的机器学习应用中模型训练的一个有趣数据集。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93a9/10371779/dd4d2f36709d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93a9/10371779/dd4d2f36709d/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93a9/10371779/dd4d2f36709d/gr1.jpg

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本文引用的文献

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Data Brief. 2020 Mar 21;30:105462. doi: 10.1016/j.dib.2020.105462. eCollection 2020 Jun.