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IAEA project aims to develop polymer irradiation model
The International Atomic Energy Agency has launched a new coordinated research project (CRP) aimed at creating a database of polymer-radiation interactions in the next five years with the long-term goal of using the database to enable machine learning–based predictive models.
Radiation-induced modifications are widely applicable across a range of fields including healthcare, agriculture, and environmental applications, and exposure to radiation is a major factor when considering materials used at nuclear power plants.
Daniel A. Vega, Taku Watanabe, Susan B. Sinnott, Simon R. Phillpot, James S. Tulenko
Nuclear Technology | Volume 165 | Number 3 | March 2009 | Pages 308-312
Technical Paper | Fuel Cycle and Management | doi.org/10.13182/NT09-A4103
Articles are hosted by Taylor and Francis Online.
A proof-of-principle study is presented in which the results of atomic-level simulations of the thermal expansion and thermal conductivity of UO2 are integrated into the fuel performance code FRAPCON. The beginning-of-life (BOL) thermal conductivity profile of a fuel pellet and the evolution of the pellet expansion over its lifetime are determined. It is found that (a) modifying FRAPCON to accept input from atomistic simulations (or elsewhere, such as new experiments or other calculations) is relatively straightforward, at least for these two properties, and (b) the properties determined from atomistic simulations yield predictions in FRAPCON that are in good agreement for the BOL thermal conductivity, but much less satisfactory for the pellet expansion.