An incremental learning framework for pipeline weld crack damage identification and leakage rate prediction
The weld crack leakage due to stress concentration and external load is a significant safety risk in pressure pipelines. Microstructural variations and dynamic propagation lead to unpredictable changes in leakage rate over time and conditions. To address the above problems, a novel framework called...
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Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2024-12-01
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Series: | Engineering Applications of Computational Fluid Mechanics |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/19942060.2024.2406256 |
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