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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.
Lorenzo P. Pagani, George E. Apostolakis
Nuclear Technology | Volume 153 | Number 1 | January 2006 | Pages 9-17
Technical Paper | Fuel Cycle and Management | doi.org/10.13182/NT06-A3685
Articles are hosted by Taylor and Francis Online.
The work presented in this paper is part of the broader issue of quantification of safety margins within a load-capacity framework in which uncertainties in loads and capacities are identified and quantified. The present paper describes an example of quantification of uncertainty in the capacity, i.e., the fuel failure enthalpy given a burnup level. The phenomena arising at high burnup are characterized by large uncertainties, as indicated by the scatter in the experimental data. We propose a framework for the probabilistic analysis of the failure limit, i.e., the enthalpy at failure, as a function of burnup. As an example, we obtain the distribution of the failure enthalpy for a Ziracloy-4 rod subjected to a reactivity-initiated accident in a pressurized water reactor by propagating the relevant uncertainties. We use the FRAPCON and FRAPTRAN computer codes, as well as a model for the probability of spallation, to simulate the transient and to obtain data points to derive the conditional probability distribution of the failure enthalpy at a given burnup level. The final results show that the distribution of the failure enthalpy shifts to lower values as burnup increases and that spallation is an important phenomenon.