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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.
Shih-Jen Wang, Shih-Hsiin Chang, Chun-Sheng Chien, Ling-Yao Chou
Nuclear Technology | Volume 109 | Number 1 | January 1995 | Pages 153-160
Technical Paper | Reactor Control | doi.org/10.13182/NT95-A35075
Articles are hosted by Taylor and Francis Online.
The Kuosheng plant analyzer is a fast and accurate simulation program developed on the AD-100 peripheral processor systems. With the feature of the optimization module, the capability of the Kuosheng plant analyzer is highly improved. It is successfully applied to the feedwater control system (FWCS) design via the optimal approach eliminating the tedious trial-and-error tuning process. First, the level setpoint change transient performed during the startup tests was simulated to verify its accuracy. After verification, it was then applied to design the FWCS with the aid of the optimization module. The objective function is selected as the proper function of the design specifications. The optimization module adjusts the controller settings automatically by minimizing the objective function. The design process starts from the speed loop and continues to the level loop in a systematic way. All the design specifications are satisfied with the optimized controller settings and the control system performance is improved.