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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.
F. J. Homan, T. N. Washburn
Nuclear Technology | Volume 8 | Number 4 | April 1970 | Pages 384-394
Economic | doi.org/10.13182/NT70-A28665
Articles are hosted by Taylor and Francis Online.
Optimized schedules for the expansion of fabrication capacity for nuclear fuels can result in substantial savings to the electrical economy. This is evident when the fabrication costs for optimized schedules are compared with conservative schedules based only on near-term demand. A method is presented by which such optimization is achieved through mathematical simulation of numerous logically selected expansion schedules which are all based on the same time-dependent demand data. The schedules are generated by assuming different plant utilization policies and planning horizons, and are compared on a levelized unit cost basis. The schedule yielding the lowest cost over the time period studied is defined as optimum. A parametric analysis is included to show the variation of optimum expansion schedules and unit costs with changes in the various economic parameters.