Limit state equation and failure pressure prediction model of pipeline with complex loading

Assessing failure pressure is critical in determining pipeline integrity. Current research primarily concerns the buckling performance of pressurized pipelines subjected to a bending load or axial compression force, with some also looking at the failure pressure of corroded pipelines. However, there...

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Veröffentlicht in:Nature communications 2024-05, Vol.15 (1), p.4473-4473, Article 4473
Hauptverfasser: Sun, Ming-ming, Fang, Hong-yuan, Wang, Nian-nian, Du, Xue-ming, Zhao, Hai-sheng, Zhai, Ke-Jie
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Sprache:eng
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Zusammenfassung:Assessing failure pressure is critical in determining pipeline integrity. Current research primarily concerns the buckling performance of pressurized pipelines subjected to a bending load or axial compression force, with some also looking at the failure pressure of corroded pipelines. However, there is currently a lack of limit state models for pressurized pipelines with bending moments and axial forces. In this study, based on the unified yield criterion, we propose a limit state equation for steel pipes under various loads. The most common operating loads on buried pipelines are bending moment, internal pressure, and axial force. The proposed limit state equation for intact pipelines is based on a three-dimensional pipeline stress model with complex load coupling. Using failure data, we investigate the applicability of various yield criteria in assessing the failure pressure of pipelines with complex loads. We show that the evaluation model can be effectively used as a theoretical solution for assessing the failure pressure in such circumstances and for selecting appropriate yield criteria based on load condition differences. Assessing failure pressure is critical in determining pipeline integrity. In this study, based on the unified yield criterion, authors propose a limit state equation for steel pipes under various loads which can be converted into a series of failure pressure evaluation models for pipeline with different yield criteria.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-48688-1