A study of predicting irradiation-induced transition temperature shift for RPV steels with XGBoost modeling

A study of predicting irradiation-induced transition temperature shift for RPV steels with XGBoost modeling

The prediction of irradiation-induced transition temperature shift for RPV steels is an important method for long term operation of nuclear power plant. Based on the irradiation embrittlement data, an irradiation-induced transition temperature shift prediction model is developed with machine learnin...

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Bibliographic Details
Main Authors: Chaoliang Xu, Xiangbing Liu, Hongke Wang, Yuanfei Li, Wenqing Jia, Wangjie Qian, Qiwei Quan, Huajian Zhang, Fei Xue
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:Nuclear Engineering and Technology
Subjects:
RPV
Irradiation embrittlement
XGBoost
Prediction model
Online Access:http://www.sciencedirect.com/science/article/pii/S1738573321001054

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http://www.sciencedirect.com/science/article/pii/S1738573321001054

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