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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.”
Zhao Chunlei, Xie Zhongsheng, Yin Banghua
Nuclear Science and Engineering | Volume 100 | Number 3 | November 1988 | Pages 260-268
Technical Paper | doi.org/10.13182/NSE88-A29039
Articles are hosted by Taylor and Francis Online.
The application of the transmission probability method to the calculation of neutron flux distribution in a two-dimensional light water reactor assembly is described. The interior flux within a mesh is assumed to be linearly dependent on X and Y coordinates. At the mesh surfaces the linear space distribution and the P1 approximation for the anisotropic angular distribution are considered. Simple expressions for the expansion coefficients are derived. These expressions are determined by outgoing and incoming currents and are renewed after each iteration. Based on the proposed method, the two-dimensional code TPM2D has been encoded and a series of two-dimensional assembly benchmark problems have been tested. The numerical results are in good agreement with those of Sn, surface flux transport, discrete node transport, and collision probability methods.
