Burst capacity and development of interaction rules for pipelines considering radial interacting corrosion defects-Reference-Cited by-同舟云学术

Burst capacity and development of interaction rules for pipelines considering radial interacting corrosion defects

Published:2021-03 Issue: Volume:121 Page:105124
ISSN:1350-6307
Container-title:Engineering Failure Analysis
language:en
Short-container-title:Engineering Failure Analysis

Author:

Idris Nurul Neesa,Mustaffa Zahiraniza,Ben Seghier Mohamed El Amine,Trung Nguyen-Thoi

Funder

Universiti Teknologi Petronas

Publisher

Elsevier BV

Subject

General Engineering,General Materials Science

Reference50 articles.

1. Z. Mustaffa, System Reliability Assessment of Offshore Pipelines, 2011.

2. M. El Amine Ben Seghier, B. Keshtegar, K.F. Tee, T. Zayed, R. Abbassi, N.T. Trung, Prediction of maximum pitting corrosion depth in oil and gas pipelines, Eng. Fail. Anal., 112 (2020).

3. Reliability analysis of low, mid and high-grade strength corroded pipes based on plastic flow theory using adaptive nonlinear conjugate map;El Amine Ben;Eng. Fail. Anal.,2018

4. O.H. BjØrnØy, M.J. Marley, Assessment of Corroded Pipelines: Past Present And Future, (2001).

5. B. Keshtegar, M. el Amine Ben Seghier, Modified response surface method basis harmony search to predict the burst pressure of corroded pipelines, Eng. Fail. Anal., 89 (2018) 177–199.

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