Paper
20 January 2025 Fatigue life prediction for corrugated compensators in high-pressure pipelines based on multiple factors correction
Zilong Yang, Liming Wang, Zhaoxia Shu, Fujiang Yang
Author Affiliations +
Proceedings Volume 13515, Fourth International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024); 1351517 (2025) https://doi.org/10.1117/12.3054327
Event: 4th International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024), 2024, Chongqing, China
Abstract
The issue was examined for corrugated compensators experiencing fatigue failure in high-pressure pipelines with complicated operating circumstances. A finite element model was established for stress simulation of the corrugated compensator under coupled load containing internal pressure and axial force. And a method was proposed to calculate the stress concentration factor using path integral. The corner area of the corrugated compensator was predicted to be a risky location for the fatigue crack sprouting. By carefully taking into account Goodman average stress correction, stress concentration factor, surface treatment procedure, load form, etc., the fatigue life prediction model of corrugated compensator was developed with multiple factors correction, and the values of each correction factor were obtained. According to the prediction model, the corrugated compensator's fatigue life prediction had a divergence of less than 10% from the engineering measured data. This result provides theoretical guidance for fatigue life assessment and design optimization of corrugated compensators in engineering applications.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zilong Yang, Liming Wang, Zhaoxia Shu, and Fujiang Yang "Fatigue life prediction for corrugated compensators in high-pressure pipelines based on multiple factors correction", Proc. SPIE 13515, Fourth International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024), 1351517 (20 January 2025); https://doi.org/10.1117/12.3054327
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KEYWORDS
Material fatigue

Data modeling

Engineering

Finite element methods

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