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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.
Ihor Pasichnyk, Markus Klein, Kiril Velkov, Winfried Zwermann, Andreas Pautz
Nuclear Technology | Volume 183 | Number 3 | September 2013 | Pages 464-472
Technical Paper | Hydraulic Reactor Safety / Fission Reactors | doi.org/10.13182/NT183-464
Articles are hosted by Taylor and Francis Online.
The effects of nuclear data covariance on the rod ejection transient of the pressurized water reactor mixed-oxide/UO2 core benchmark sponsored by the Organisation for Economic Co-operation and Development/Nuclear Energy Agency and the U.S. Nuclear Regulatory Commission are investigated. For this purpose the uncertainty and sensitivity software package XSUSA developed at Gesellschaft für Anlagen- und Reaktorsicherheit is applied to propagate uncertainties in nuclear data libraries to the transient calculations. A statistically representative set of transient calculations is analyzed, and both integral and local output quantities are compared with the benchmark results of different participants. It is shown that the uncertainties in nuclear data play a crucial role in the interpretation of the simulation results. The work is a step forward in establishing a methodology that combines best-estimate calculation with performing uncertainty analysis for coupled full-core calculations.