Pipeline wall thinning rate prediction model based on machine learning

Pipeline wall thinning rate prediction model based on machine learning

Flow-accelerated corrosion (FAC) of carbon steel piping is a significant problem in nuclear power plants. The basic process of FAC is currently understood relatively well; however, the accuracy of prediction models of the wall-thinning rate under an FAC environment is not reliable. Herein, we propos...

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Bibliographic Details
Main Authors:	Seongin Moon, Kyungmo Kim, Gyeong-Geun Lee, Yongkyun Yu, Dong-Jin Kim
Format:	Article
Language:	English
Published:	Elsevier 2021-12-01
Series:	Nuclear Engineering and Technology
Subjects:	Flow-accelerated corrosion Wall thinning Machine learning Artificial neural network Convolutional neural network
Online Access:	http://www.sciencedirect.com/science/article/pii/S1738573321003879

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