Sensitivity of reliability-based fatigue analysis to crack shape development in cracked pipeline-Reference-Cited by-同舟云学术

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Sensitivity of reliability-based fatigue analysis to crack shape development in cracked pipeline

Published:2019 Issue: Volume:22 Page:201-210
ISSN:2452-3216
Container-title:Procedia Structural Integrity
language:en
Short-container-title:Procedia Structural Integrity

Author:

Guillal Abdelkader,Abdelbaki Nourdine,Seghier Mohamed El Amine Ben,A.F.O Correia José,De Jesus Abílio,Zhu Shun-Peng

Publisher

Elsevier BV

Subject

General Engineering,Energy Engineering and Power Technology

Reference23 articles.

1. Fracture mechanics: fundamentals and applications;ANDERSON,2017

2. Structural reliability of corroded pipeline using the so-called Separable Monte Carlo method;BEN SEGHIER;The Journal of Strain Analysis for Engineering Design,2018

3. Reliability analysis based on hybrid algorithm of M5 model tree and Monte Carlo simulation for corroded pipelines: Case of study X60 Steel grade pipes;BENSEGHIER;Engineering Failure Analysis,2019

4. Reliability analysis of low, mid and high-grade strength corroded pipes based on plastic flow theory using adaptive nonlinear conjugate map;BENSEGHIER;Engineering Failure Analysis,2018

5. BS7910, B. S. 2000. Guidance on methods for assessing the acceptability of flaws in metallic structures. British Standards Institution.

Cited by 5 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. Effects of sandblasting and HIP on very high cycle fatigue performance of SLM-fabricated IN718 superalloy;Journal of Materials Research and Technology;2022-05

2. Influence of additional factors on the integrity of pipelines with small corrosion defects;Procedia Structural Integrity;2022

3. Influence of post-processing on very high cycle fatigue resistance of Inconel 718 obtained with laser powder bed fusion;International Journal of Fatigue;2021-12

4. Probabilistic investigation on the reliability assessment of mid- and high-strength pipelines under corrosion and fracture conditions;Engineering Failure Analysis;2020-12

5. Novel hybridized adaptive neuro‐fuzzy inference system models based particle swarm optimization and genetic algorithms for accurate prediction of stress intensity factor;Fatigue & Fracture of Engineering Materials & Structures;2020-08-12

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