A new methodology for the prediction of burst pressure for API 5L X grade flawless pipelines

Oh, Do Han and Race, Julia and Oterkus, Selda and Chang, Enrong (2020) A new methodology for the prediction of burst pressure for API 5L X grade flawless pipelines. Ocean Engineering, 212. 107602. ISSN 0029-8018 (https://doi.org/10.1016/j.oceaneng.2020.107602)

[thumbnail of Oh-etal-OE-2020-A-new-methodology-for-the-prediction-of-burst-pressure]
Preview
Text. Filename: Oh_etal_OE_2020_A_new_methodology_for_the_prediction_of_burst_pressure.pdf
Accepted Author Manuscript
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 logo

Download (877kB)| Preview

Abstract

Accurate prediction of the burst pressure of a pipeline is critical for pipeline design and safe operation. It is usually achieved by using analytical and empirical formulae derived from theoretical, numerical and experimental methods. This study was carried out to develop a new methodology to predict the burst pressure for API 5L X grade flawless pipelines. The newly proposed methodology has been developed using finite element analysis, employing a bilinear material model using the tangent modulus approach. In this approach, the strain at ultimate tensile strength has been derived from analysis of API 5L X grade material coupon test data. A comprehensive nonlinear finite element parametric study was conducted with this bilinear material model. The results were used to derive an empirical formula for estimating the burst pressure of API 5L X grade flawless pipelines. It was found that the best agreement was achieved between the burst pressure calculated by the proposed formula and the burst test results. Therefore, it can be concluded that the burst pressure prediction empirical formula derived by following the proposed methodology can calculate an accurate burst pressure for the API 5L X grade flawless pipelines.

ORCID iDs

Oh, Do Han, Race, Julia ORCID logoORCID: https://orcid.org/0000-0002-1567-3617, Oterkus, Selda ORCID logoORCID: https://orcid.org/0000-0003-0474-0279 and Chang, Enrong ORCID logoORCID: https://orcid.org/0000-0002-9548-3687;