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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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The journey of the U.S. fuel cycle
Craig Piercycpiercy@ans.org
While most big journeys begin with a clear objective, they rarely start with an exact knowledge of the route. When commissioning the Lewis and Clark expedition in 1803, President Thomas Jefferson didn’t provide specific “turn right at the big mountain” directions to the Corps of Discovery. He gave goal-oriented instructions: explore the Missouri River, find its source, search for a transcontinental water route to the Pacific, and build scientific and cultural knowledge along the way.
Jefferson left it up to Lewis and Clark to turn his broad, geopolitically motivated guidance into gritty reality.
Similarly, U.S. nuclear policy has begun a journey toward closing the U.S. nuclear fuel cycle. There is a clear signal of support for recycling from the Trump administration, along with growing bipartisan excitement in Congress. Yet the precise path remains unclear.
Jun Li, Man-Sung Yim, David McNelis
Nuclear Technology | Volume 162 | Number 3 | June 2008 | Pages 293-307
Technical Paper | Fuel Cycle and Management | doi.org/10.13182/NT08-A3957
Articles are hosted by Taylor and Francis Online.
The development of a fuzzy logic-based barrier (FLB) method for the evaluation of the proliferation resistance of nuclear fuel cycle systems is described in this paper. The method is based on using a group of system-dependent, measurable, or quantifiable variables to define the proliferation barrier effectiveness of a system as fuzzy numbers. The usefulness of the FLB method and the resulting metric in quantifying the proliferation resistance of fuel cycle systems was also investigated by applying it to three fuel cycles, i.e., light water reactor-once-through, light water reactor with mixed oxide fuel, and direct use of spent pressurized water reactor fuel in CANDU reactor. To address the issue of subjectivity in assigning barrier weighting factors or fuzzy numbers, the sensitivity of the results to the definition of fuzzy numbers and weighting schemes was also investigated.