Analysis of the Work Time and the Collective Dose by Correcting the Learning-Forgetting Curve Model in Decommissioning of a Nuclear Facility

Pub Date : 2023-03-30 DOI:10.14407/jrpr.2022.00031
Choongwie Lee, Hee Reyoung Kim, Jin-Woo Lee
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Abstract

Background: As the number of nuclear facilities nearing their pre-determined design life increases, demand is increasing for technology and infrastructure related to the decommissioning and decontamination (D&D) process. It is necessary to consider the nature of the dismantling environment constantly changing and the worker doing new tasks. A method was studied that can calculate the effect of learning and the change in work time on the work process, according to the learning-forgetting curve model (LFCM).Materials and Methods: The LFCM was analyzed, and input values and scenarios were analyzed for substitution into the D&D process of a nuclear facility.Results and Discussion: The effectiveness and efficiency of the training were analyzed. It was calculated that skilled workers can receive a 16.9% less collective radiation dose than workers with only basic training.Conclusion: Using these research methods and models, it was possible to calculate the change in the efficiency of workers performing new tasks in the D&D process and the corresponding reduction in the work time and collective dose.
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修正学习-遗忘曲线模型对核设施退役工作时间和集体剂量的分析
背景:随着接近预定设计寿命的核设施数量的增加,对退役和净化(D&D)过程相关的技术和基础设施的需求也在增加。有必要考虑拆解环境的性质不断变化和工人所做的新任务。根据学习-遗忘曲线模型(LFCM),研究了一种计算学习和工作时间变化对工作过程影响的方法。材料与方法:对LFCM进行了分析,并对核设施D&D过程的替代输入值和情景进行了分析。结果与讨论:分析了培训的效果和效率。据计算,熟练工人接受的集体辐射剂量比只接受过基本培训的工人少16.9%。结论:利用这些研究方法和模型,可以计算出D&D过程中工人执行新任务效率的变化以及相应的工作时间和集体剂量的减少。
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