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Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Nuclear News 40 Under 40 discuss the future of nuclear
Seven members of the inaugural Nuclear News 40 Under 40 came together on March 4 to discuss the current state of nuclear energy and what the future might hold for science, industry, and the public in terms of nuclear development.
To hear more insights from this talented group of young professionals, watch the “40 Under 40 Roundtable: Perspectives from Nuclear’s Rising Stars” on the ANS website.
Atsuyuki Suzuki, Ryohei Kiyose
Nuclear Science and Engineering | Volume 46 | Number 1 | October 1971 | Pages 112-130
Technical Paper | doi.org/10.13182/NSE71-A22339
Articles are hosted by Taylor and Francis Online.
The fuel management optimization problem within a light water moderated nuclear reactor is formulated as a multistage decision process, and the amount of fresh fuel in each zone and the shuffling schemes of reloading fuel are simultaneously determined so as to minimize the consumption of fresh fuel throughout plant life. The problem in case of a five-zone core involves about 8000 variables and about 2000 constraints on the variables. However, it is shown that the optimal refueling policy can be obtained in a reasonable length of computing time by using linear programming and, prior to the overall optimization calculation, by solving the subproblem of minimizing the stagewise consumption of fresh fuel. The optimal refueling policy results in reduction of the consumption of fresh fuel by about 10% compared with the conventional policy of uniform partial batch refueling. The essential assumption in the calculation model is that the spatial power distribution in the core does not change significantly with time and the optimal allocation of energy output (integrated power output) for each zone can be attained by optimizing the control rod programming for one core life. Three-dimensional depletion calculations are repeatedly performed to verify feasibility of the model based on that assumption.