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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.
Khaled Meftah, Arthur E. Ruggles
Nuclear Technology | Volume 154 | Number 3 | June 2006 | Pages 328-334
Technical Paper | Thermal Hydraulics | doi.org/10.13182/NT06-A3737
Articles are hosted by Taylor and Francis Online.
A scaled model boiling water reactor (SMBWR) uses water at 0.095 MPa in a transparent heated channel 0.5 m in length with four electrical heated fuel simulator rods. The axial void profile in the channel is measured using conductivity probes. The boiling channel exhibits bubbly and churn flow regimes. In the present study, the bubbly-churn regime transition is investigated using the variance, kurtosis, and skewness of the probability density function (pdf) derived from the conductivity measurements. The positioning of five conductivity sensors along the boiling water channel allows examination of the gradual changes in the flow regime characteristics. The results indicate it is possible to detect the bubbly-to-churn flow regime transition using the pdf distribution attributes of the conductivity probes.