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Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
2024 ANS Annual Conference
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Las Vegas, NV|Mandalay Bay Resort and Casino
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Nuclear Science and Engineering
Fusion Science and Technology
The reality of radiation
Rep. Brandon Williams
Rep. Byron Donalds
For many Americans, the word “radiation” is often associated with fear of the unknown, yet the medical and scientific reality is that radiation is ever present in nature and is beneficial to human life. The truth behind radiation historically has been distorted and stigmatized—even the U.S. Nuclear Regulatory Commission recognizes that “radiation is naturally present in our environment, as it has been since before the birth of this planet.”
To embrace a responsible, low-carbon energy future, the American public should be aware of the beneficial applications of radiation instead of fearing it due to unsubstantiated hysteria generated by opponents of responsible nuclear energy.
Cihang Lu, Zeyun Wu
Nuclear Technology | Volume 208 | Number 10 | October 2022 | Pages 1577-1590
Technical Paper | doi.org/10.1080/00295450.2022.2049966
Articles are hosted by Taylor and Francis Online.
Equilibrium state generation for the pebble bed reactor (PBR) is challenging due to the need to simultaneously account for both pebble movement and changes in fuel compositions. Multigroup diffusion codes have been historically employed to generate the equilibrium state and perform conventional neutronics calculations for PBRs, while neutron cross-section generation has been challenging due to the double heterogeneity of PBRs. Thanks to the capability to treat the double heterogeneity naturally, continuous-energy Monte Carlo (MC) methods are more suitable for detailed PBR analysis, but at the cost of significantly higher computing power.
This paper presents a new Methodology to Efficiently Estimate the Equilibrium State of a PBR (MEEES-PBR) to generate equilibrium-state MC models for PBRs at lower computational expense. The MEEES-PBR is expected to contribute to the future development of PBR designs by accelerating the efforts in core designs and parametric studies. The theory of the MEEES-PBR is introduced in detail in this paper, and the procedure is demonstrated via an example application to the 165-MW(thermal) Xe-100 design. The computational cost and the accuracy of the MEEES-PBR are discussed to prove its viability.