The Influence of Axial Compressive Stress and Internal Pressure on a Pipeline Network: A Review-Reference-Cited by-同舟云学术

The Influence of Axial Compressive Stress and Internal Pressure on a Pipeline Network: A Review

Published:2023-03-16 Issue:6 Volume:13 Page:3799
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Arumugam Thibankumar¹^ORCID,Vijaya Kumar Suria Devi¹^ORCID,Karuppanan Saravanan¹,Ovinis Mark²

Affiliation:

1. Mechanical Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia

2. School of Engineering and the Built Environment, Birmingham City University, Birmingham B4 7XG, UK

Abstract

Due to their exceptional structural integrity, steel pipelines are the main component for oil and gas transmission. However, these pipelines are often affected by corrosion, despite corrosion protection, because of harsh working conditions. In addition to corrosion defects, pipelines are often subjected to multiple external loads. The combination of corrosion defects and external loads can significantly reduce the failure pressure, resulting in various failure behaviors. This reduction in failure pressure is especially critical in pipe bends as they are the weakest link in a pipeline. This paper presents an overview of the failure behavior of corroded steel pipe components subjected to internal pressure and axial compressive stress.

Funder

Yayasan Universiti Teknologi PETRONAS, Malaysia

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/6/3799/pdf

Reference70 articles.

1. Burst strength assessment of X100 to X120 ultra-high strength corroded pipes;Bhardwaj;Ocean Eng.,2021

2. Kumar, S.D.V., Lo, M., Karuppanan, S., and Ovinis, M. (2022). Failure Pressure Prediction of Medium to High Toughness Pipe with Circumferential Interacting Corrosion Defects Subjected to Combined Loadings Using Artificial Neural Network. Appl. Sci., 12.

3. Kumar, S.D.V., Lo, M., Arumugam, T., and Karuppanan, S. (2021). A review of finite element analysis and artificial neural networks as failure pressure prediction tools for corroded pipelines. Materials, 14.

4. Lo, M., Kumar, S.D.V., Karuppanan, S., and Ovinis, M. (2022). An Artificial Neural Network-Based Equation for Predicting the Remaining Strength of Mid-to-High Strength Pipelines with a Single Corrosion Defect. Appl. Sci., 12.

5. Local buckling failure analysis of high strength pipelines containing a plain dent under bending moment;Shuai;J. Nat. Gas Sci. Eng.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The analysis of strain response for as-received and exploited 10H2M power engineering steel subjected to low cycle fatigue in plastic regime;International Journal of Pressure Vessels and Piping;2024-02

2. Mechanistic and Data-Driven Modelling of Operational Parameters Prediction on Oil and Gas Transportation Pipeline Network;2023 International Conference on New Trends in Computational Intelligence (NTCI);2023-11-03