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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.
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NRC recommends over $7 million in R&D grants
The Nuclear Regulatory Commission announced on September 21 that based on a review of 141 research and development grant proposals, it anticipates awarding more than $7.25 million in funding to 15 of the peer-reviewed proposals. The funding is part of the $16 million appropriated by Congress in fiscal year 2020 under the Integrated University Program.
While independent NRC review panels recommended the 15 R&D proposals for funding, the NRC’s Office of Nuclear Regulatory Research will make a final decision on the awards.
Akio Yamamoto, Tatsuya Sakamoto, Tomohiro Endo
Nuclear Science and Engineering | Volume 184 | Number 2 | October 2016 | Pages 168-173
Technical Paper | dx.doi.org/10.13182/NSE16-53
Articles are hosted by Taylor and Francis Online.
Flux-level-fixup (FF) coarse-mesh finite difference (CMFD) (FF-CMFD), which increases numerical stability during nonlinear iterations for the SP3 advanced nodal method, is proposed as an improved CMFD implementation. In contrast to the scalar flux that appeared in the advanced nodal method with diffusion theory, the second flux moment ϕ2 in the SP3 method could take a very small value since it can take both positive and negative values in a node. This is a root cause of inefficiency of the SP3 advanced nodal method when conventional CMFD acceleration is directly applied. In the proposed FF-CMFD method, a constant value is added to the second flux moment ϕ2 to fix up its value to a sufficiently large positive value for stable numerical calculations. The efficiency of the FF-CMFD method is verified through benchmark calculations.