基于物理信息神经网络的油气管道内腐蚀预测方法
Pipeline Corrosion Prediction Method Based on Physics-informed Neural Networks
基于物理信息神经网络的油气管道内腐蚀预测方法 |
| 周涛涛, 刘迎正, 郑文培, 姜恒良, 刘海鹏, 夏刚 |
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Pipeline Corrosion Prediction Method Based on Physics-informed Neural Networks |
| ZHOU Taotao, LIU Yingzheng, ZHENG Wenpei, JIANG Hengliang, LIU Haipeng, XIA Gang |
| 图3 不同模型预测的管道在不同CO2分压下的腐蚀速率随温度的变化 |
| Fig.3 Corrosion rate vs. temperature curves obtained for pipelines by SVM (a), XGBoost (b), ANN (c) and PINN (d) models under different CO2 partial presses |
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