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The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
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The U.S. Army’s Deactivated Nuclear Power Plant Program
The U.S. Army Corps of Engineers (USACE), Baltimore District, is home to the North Atlantic Division’s Radiological Health Physics Regional (RHPR) Center of Expertise, which is leading the decommissioning of Army reactors.
From 1956 to 1976, the Army’s nuclear power program operated several small nuclear reactors to confirm the feasibility of their meeting military power needs on land. Three Army reactors were deactivated in the 1970s and placed into safe storage awaiting future decommissioning.
Tracy E. Stover, Paul J. Turinsky
Nuclear Technology | Volume 180 | Number 2 | November 2012 | Pages 216-230
Technical Paper | Radiation Measurements and General Instrumentation | dx.doi.org/10.13182/NT12-A14635
Articles are hosted by Taylor and Francis Online.
The safe and economical design of new, innovative nuclear reactors will require uncertainty reduction in basic nuclear data that are input to simulations used during reactor design. These data uncertainties propagate to uncertainties in design responses, which in turn require the reactor designer to incorporate additional safety margins into the design, often increasing the cost of the reactor. Therefore, basic nuclear data need to be improved, and this is accomplished through experimentation, which is often done using cold critical experiments. Considering the high cost of nuclear experiments, it is desired to have an optimized experiment that will provide the experimental data needed for maximum uncertainty reduction in the design responses. However, the optimization of the experiment is coupled to the reactor design itself because with reduced uncertainty in the design responses the reactor design can be re-optimized. It is thus desired to find the experiment design that gives the most optimized reactor design. Solution of this nested optimization problem is made possible by the use of the simulated annealing algorithm. Cost values for experiment design specifications and reactor design specifications are estimated and used to compute a total savings by comparing the a posteriori reactor cost to the a priori cost accounting for the offsetting cost of the experiment. This was done for the Argonne National Laboratory-developed Advanced Burner Test Reactor design concept employing a modified Zero Power Physics Reactor as the experimental facility.