使用 MCNP、PHITS 和 FLUKA 进行内置物理模型和质子诱导核数据验证 - 对质子加速器设施屏蔽设计的影响

IF 1.9 3区 工程技术 Q1 NUCLEAR SCIENCE & TECHNOLOGY Annals of Nuclear Energy Pub Date : 2024-11-16 DOI:10.1016/j.anucene.2024.111048
Y. Çelik , A. Stankovskiy , H. Iwamoto , Y. Iwamoto , G. Van den Eynde
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引用次数: 0

摘要

MCNP、PHITS 和 FLUKA 是通用的蒙特卡罗(MC)辐射传输代码,广泛应用于世界各地加速器设施的许多实际屏蔽问题。在这些代码中,核相互作用是通过内置的物理模型,或带有评估截面和二次能量角分布的表格,或两者的组合来描述的。对于高束流和高束流加速器应用,中子沿质子束入射反方向通过真空管道发射是屏蔽设计的一个重要因素,以便正确评估工作人员和加速器结构材料的剂量率,并处理由反向散射中子通量激活的废物。在这项工作中,根据物理模型和核资料库,对 MC 代码预测的中子产生截面和厚靶产率与实验数据进行了比对,以评估它们在预测中子发射方面的准确性,并进一步评估对屏蔽设计的相应影响。研究结果表明,核资料库和物理模型在较低能量(150 MeV)时并不能提供很好的结果,但在没有核资料可用时,或在数据表在所谓的 "混合与匹配 "策略中结束的能量范围以上时,无论如何都要使用它们,因此需要进一步改进。在已调查的质子诱导核数据 库中,JENDL-4.0/HE 与所有目标材料的实验数据的一致性最令人满意,但仍需改进。关于代码的物理模型,FLUKA V4-4.0 在实验值的再现性方面表现最佳。计算结果还表明,在 10 MeV 能量范围内(主要是通过屏蔽厚度的剂量率),计算结果与实验结果之间的所有差异最多为 2 倍。这可能被认为是一个可以接受的数字,因为它相当于全世界加速器设施屏蔽计算中考虑的正常安全系数 (x2)。
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Built-in physics models and proton-induced nuclear data validation using MCNP, PHITS, and FLUKA – Impact on the shielding design for proton accelerator facilities
The MCNP, PHITS, and FLUKA are general-purpose Monte Carlo (MC) radiation transport codes that are widely used for many real-world shielding problems at accelerator facilities around the world. Nuclear interactions are described in these codes by either built-in physics models, or tables with evaluated cross sections and secondary energy-angular distributions, or a combination of both. Over the decades, many code validation efforts have been made, owing to the availability of shielding benchmarks to test the physics models and nuclear data and to verify the accuracy of simulation codes.
For high beam energy and high beam current accelerator applications, neutron emission through the vacuum pipe along the reverse direction of incident proton beam is an important factor for a shielding design in order to correctly assess the dose rates for workers and the structural materials of the accelerator and handle with the waste activated by the backscattered neutron fluxes. In this work, neutron-production cross sections and thick-target yield predictions from MC codes relying on physics models and nuclear data libraries are benchmarked against the experimental data, in order to assess their accuracy in predicting neutron emission and furthermore to assess the corresponding impact on shielding design.
The results of this study demonstrate that the nuclear data libraries and physics models, which are not expected to give good results at lower energies (< 150 MeV) but are used anyhow when there is no nuclear data available or above the energy range where the data tables end in the so-called “mix-and-match” strategy, need further improvements. Among the investigated proton induced nuclear data libraries, JENDL-4.0/HE produces the most satisfactory agreement to experimental data for all target materials, but may still benefit from refinement. Concerning the physics models of the codes, FLUKA V4-4.0 has the best performance in terms of reproducibility of the experimental values. It is also shown that all discrepancies between the calculations and the experiments for the energy range < 10 MeV (which is dominant on the dose rates through the shield thickness), are up to factor of two. This might be considered as an acceptable figure as it is equivalent to a normal safety margin (x2) considered in shielding calculations of accelerator facilities around the world.
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来源期刊
Annals of Nuclear Energy
Annals of Nuclear Energy 工程技术-核科学技术
CiteScore
4.30
自引率
21.10%
发文量
632
审稿时长
7.3 months
期刊介绍: Annals of Nuclear Energy provides an international medium for the communication of original research, ideas and developments in all areas of the field of nuclear energy science and technology. Its scope embraces nuclear fuel reserves, fuel cycles and cost, materials, processing, system and component technology (fission only), design and optimization, direct conversion of nuclear energy sources, environmental control, reactor physics, heat transfer and fluid dynamics, structural analysis, fuel management, future developments, nuclear fuel and safety, nuclear aerosol, neutron physics, computer technology (both software and hardware), risk assessment, radioactive waste disposal and reactor thermal hydraulics. Papers submitted to Annals need to demonstrate a clear link to nuclear power generation/nuclear engineering. Papers which deal with pure nuclear physics, pure health physics, imaging, or attenuation and shielding properties of concretes and various geological materials are not within the scope of the journal. Also, papers that deal with policy or economics are not within the scope of the journal.
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