Technical Note:Field Study—Pitting Corrosion of Underground Pipelines Related to Local Soil and Pipe Characteristics
Author:
Publisher
NACE International
Subject
General Materials Science,General Chemical Engineering,General Chemistry
Link
http://corrosionjournal.org/doi/pdf/10.5006/1.3318290
Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Study on the Influence of Non-Metallic Inclusions on the Pitting Corrosion of API 5L X60 Steel;Coatings;2023-06-03
2. Predictive deep learning for pitting corrosion modeling in buried transmission pipelines;Process Safety and Environmental Protection;2023-06
3. Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network;Journal of Pipeline Science and Engineering;2023-03
4. Interpretable machine learning for maximum corrosion depth and influence factor analysis;npj Materials Degradation;2023-02-02
5. Multi-Parameter Maximum Corrosion Depth Prediction Model for Buried Pipelines Based on GSCV-XGBoost;IEEE Access;2023
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