Citation

Yang YJ, Wang G, Zhong Q, Zhang H, He J, Chen H. Int. J. Struct. Integr. 2021; 12(6): 854-863.

Copyright

(Copyright © 2021, Emerald Group Publishing)

DOI

10.1108/IJSI-11-2020-0112

PMID

unavailable

Abstract

PURPOSE: Gas pipelines are facing serious risk because of the factors such as long service life, complex working condition and most importantly, corrosion. As one of the main failure reasons of gas pipeline, corrosion poses a great threat to its stable operation. Therefore, it is necessary to analyze the reliability of gas pipelines with corrosion defect. This paper uses the corresponding methods to predict the residual strength and residual life of pipelines.

DESIGN/METHODOLOGY/APPROACH: In this paper, ASME-B31G revised criteria and finite element numerical analysis software are used to analyze the reliability of a special dangerous section of a gas gathering pipeline, and the failure pressure and stress concentration of the pipeline under three failure criteria are obtained. Furthermore, combined with the predicted corrosion rate of the pipeline, the residual service life of the pipeline is calculated.

FINDINGS: This paper verifies the feasibility of ASME-B31G revised criteria and finite element numerical analysis methods for reliability analysis of gas pipelines with corrosion defect. According to the calculation results, the maximum safe internal pressure of the pipeline is 9.53Mpa, and the residual life of the pipeline under the current operating pressure is 38.41 years, meeting the requirements of safe and reliable operation.

ORIGINALITY/VALUE: The analysis methods and analysis results provide reference basis for the reliability analysis of corroded pipelines, which is of great practical engineering value for the safe and stable operation of natural gas pipelines. © 2020, Emerald Group Publishing

Keywords: Pipeline transportation

Language: en

Keywords

Finite element method; Defects; Pipeline corrosion; Corrosion rate; Gases; Natural gas pipelines; Numerical methods; Reliability analysis; Software reliability