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Atlanta, GA|Atlanta Marriott Marquis
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Remembering ANS member Gil Brown
Brown
The nuclear community is mourning the loss of Gilbert Brown, who passed away on July 11 at the age of 77 following a battle with cancer.
Brown, an American Nuclear Society Fellow and an ANS member for nearly 50 years, joined the faculty at Lowell Technological Institute—now the University of Massachusetts–Lowell—in 1973 and remained there for the rest of his career. He eventually became director of the UMass Lowell nuclear engineering program. After his retirement, he remained an emeritus professor at the university.
Sukesh Aghara, chair of the Nuclear Engineering Department Heads Organization, noted in an email to NEDHO members and others that “Gil was a relentless advocate for nuclear energy and a deeply respected member of our professional community. He was also a kind and generous friend—and one of the reasons I ended up at UMass Lowell. He served the university with great dedication. . . . Within NEDHO, Gil was a steady presence and served for many years as our treasurer. His contributions to nuclear engineering education and to this community will be dearly missed.”
Edmund T. Rumble, III, William E. Kastenberg
Nuclear Science and Engineering | Volume 49 | Number 2 | October 1972 | Pages 172-187
Technical Paper | doi.org/10.13182/NSE72-A35505
Articles are hosted by Taylor and Francis Online.
Several nonlinear space-time reactor models are studied by employing modal analysis. Eigenfunction modes resulting from the solution of Sturm-Liouville equations satisfying the appropriate linear portion of the neutron diffusion equation are chosen. These modes form a complete, orthogonal set and are convenient to calculate numerically. Examples where coefficients and time constants are representative of present reactor design are studied. The work is focused on space-dependent feedback and local step and ramp reactivity insertions. The large difference in the neutronic and thermal-hydraulic time constants gives rise to computational difficulties. This difficulty, characteristic of “stiff systems” was minimized by use of a rational extrapolation technique to solve the resultant equations.