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Peng Zhang, Wei Liu, Siming Liu, Tian Xu, Yimiao Li and Yunfei Huang
Corrosion poses a significant risk to the safety of energy pipelines, while landslide disasters emerge as the primary threat responsible for triggering pipeline failures across mountainous areas. To date, there is limited research focused on the safety o...
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Michael Lo, Suria Devi Vijaya Kumar, Saravanan Karuppanan and Mark Ovinis
Numerical methods such as finite element analysis (FEA) can accurately predict remaining strength, with strong correlation with actual burst tests. However, parametric studies with FEA are time and computationally intensive. Alternatively, an artificial ...
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Jianxing Yu, Weipeng Xu, Yang Yu, Fei Fu, Huakun Wang, Shengbo Xu and Shibo Wu
The objective of this study was to investigate the performance of pipelines repaired with carbon-fibre-reinforced polymer (CFRP) under external pressure. The repaired pipeline experienced defects in terms of thinning of its local inner wall. The three-di...
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Michael Lo, Saravanan Karuppanan and Mark Ovinis
Most of the standards available for the assessment of the failure pressure of corroded pipelines are limited in their ability to assess complex loadings, and their estimations are conservative. To overcome this research gap, this study employed an artifi...
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Suria Devi Vijaya Kumar, Michael Lo, Saravanan Karuppanan and Mark Ovinis
Conventional pipeline failure pressure assessment codes do not allow for failure pressure prediction of interacting defects subjected to combined loadings. Alternatively, numerical approaches may be used; however, they are computationally expensive. In t...
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Michael Lo, Saravanan Karuppanan and Mark Ovinis
Machine learning tools are increasingly adopted in various industries because of their excellent predictive capability, with high precision and high accuracy. In this work, analytical equations to predict the failure pressure of a corroded pipeline with ...
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Xiaoli Li, Guitao Chen, Xiaoyan Liu, Jing Ji and Lianfu Han
In order to study the residual strength of buried pipelines with internal corrosion defects in seasonally frozen soil regions, we established a thermo-mechanical coupling model of a buried pipeline under differential frost heave by using the finite eleme...
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Chinedu I. Ossai
Pág. 1 - 14
This study used Finite Element Modelling (FEM) to determine the relationship between the burst pressure (Pb) of internally, circumferentially corroded pipelines, with the corrosion defect depth (d), pipe wall thickness (t) and the pipe diameter (D). Afte...
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