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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.
Yongjae Kim, Seokhyeon Han, Seungjun Oh, Samwon Chung
Nuclear Technology | Volume 210 | Number 11 | November 2024 | Pages 2009-2016
Review Article | doi.org/10.1080/00295450.2024.2309599
Articles are hosted by Taylor and Francis Online.
There are numerous computational programs available for fire influence analysis; however, currently, there is no computational program in Korea specifically designed to aid Authority Having Jurisdiction (AHJ) in fire protection inspections, taking into account promptness and portability. Hence, this study aims to develop a mobile application for fire influence analysis, prioritizing promptness and portability to improve the quality of fire protection inspections and to provide inspectors with insight into fire dynamics. This study outlines specific development directions for a mobile application as part of the conceptual design for the future development of the fire influence analysis mobile application. These directions aim to support fire protection inspection, and detailed development plans have been derived accordingly. The mobile application development plan derived from this study will serve as fundamental data for future mobile application development. In addition, the mobile application to be developed will specialize in supporting fire protection inspection at nuclear power plants in Korea. However, it is not limited to inspectors from AHJ, and is expected to be beneficial to all analysts conducting fire influence analyses.