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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.”
James F. Harrison
Nuclear Technology | Volume 83 | Number 3 | December 1988 | Pages 310-324
Technical Paper | Fifth International Retran Meeting / Heat Transfer and Fluid Flow | doi.org/10.13182/NT88-A34144
Articles are hosted by Taylor and Francis Online.
An assessment of RETRAN’s ability to provide best-estimate reference information for the qualification of full-scope power plant training simulators is provided. Analyses that compare RETRAN predictions to plant data or to test facility data are summarized. The relationship between the RETRAN qualification studies and the simulator test matrix presented in Electric Power Research Institute NP-4243, Analytic Simulator Qualification Methodology, and the requirements of ANSI/ANS-3.5 are discussed. Thirty-one boiling water reactor transient analyses and 50 pressurized water reactor analyses have been evaluated. The evaluation shows that RETRAN models have experienced essentially all of the “dynamic states” required for the qualification of power plant training simulators. The rating for the magnitude, timing, and trend measures indicates that the predictions using RETRAN models are either completely acceptable or acceptable with some reservations most of the time. The magnitude performance varies depending on the type of event, whereas the trend and timing performance is nearly the same for all event types. The ratings for the RETRAN transient predictions show that RETRAN models are capable of predicting the important system parameters with the fidelity required for the qualification of training simulators.