AIを活用した圧力容器鋼中性子照射脆化予測の高度化


英字タイトル:
Modeling for Prediction of Irradiation Embrittlement of RPV steels using AI
著者:
中筋 俊樹 森下 和功 (京都大)
発刊日:
公開日:
カテゴリ: 第16回
キーワードタグ:

概要

In order to keep nuclear safety, management of irradiation embrittlement of LWR pressure vessel steels is the one of important issues. In this study, we focus on the prediction of irradiation embrittlement. Conventionally, irradiation embrittlement prediction is performed by a numerical model based on the mechanism. In recent years, research in fields such as AI and Bayesian statistics has rapidly progressed. Therefore, in this study, in order to advance the irradiation embrittlement prediction, the irradiation embrittlement was predicted using AI. The development of a new irradiation embrittlement prediction method using AI was discussed in comparison with the current embrittlement prediction method.


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