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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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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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General Kenneth Nichols and the Manhattan Project
Nichols
The Oak Ridger has published the latest in a series of articles about General Kenneth D. Nichols, the Manhattan Project, and the 1954 Atomic Energy Act. The series has been produced by Nichols’ grandniece Barbara Rogers Scollin and Oak Ridge (Tenn.) city historian David Ray Smith. Gen. Nichols (1907–2000) was the district engineer for the Manhattan Engineer District during the Manhattan Project.
As Smith and Scollin explain, Nichols “had supervision of the research and development connected with, and the design, construction, and operation of, all plants required to produce plutonium-239 and uranium-235, including the construction of the towns of Oak Ridge, Tennessee, and Richland, Washington. The responsibility of his position was massive as he oversaw a workforce of both military and civilian personnel of approximately 125,000; his Oak Ridge office became the center of the wartime atomic energy’s activities.”
Cheng-Der Wang, Chaung Lin
Nuclear Technology | Volume 176 | Number 1 | October 2011 | Pages 72-82
Technical Paper | Second Seminar on Accelerated Testing of Materials in Spent Nuclear Fuel and High-Level Waste Storage Systems / Fission Reactors | doi.org/10.13182/NT11-A12543
Articles are hosted by Taylor and Francis Online.
A method for the automatic design of a boiling water reactor (BWR) control rod (CR) pattern (CRP) was developed using the rank-based ant system, which is an effective optimization algorithm for a combinatorial optimization problem. The designed BWR CRP followed either the A2-B1-A1-B2 or the A1-B2-A2-B1 sequence in this study. After the CRP was determined, the SIMULATE-3 code was used to calculate the axial power distribution, the effective multiplication factor keff, the shutdown margin, and three thermal limits-which were then used to evaluate the CRP and update the pheromone concentration. The developed methodology was demonstrated using design CRPs for several fuel loading patterns, showing that the designed patterns can be obtained within a reasonable computation time and with an acceptable cycle length.