A dual fracture mechanical approach for estimating notch stress intensity factor and T-stress using volumetric methods on API 5L pipe steel: Experimental study and numerical validation

This study focuses on the evaluation of the Notch Stress Intensity Factor (NSIF) as a key parameter for estimating the material's master failure curve in API 5L pipe steel. The research encompasses both experimental investigations and numerical validations to comprehensively assess the applicab...

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Bibliographic Details
Published in:Journal of materials research and technology 2024-11, Vol.33, p.3189-3204
Main Authors: Boutelidja, Racim, Rahman, Mohammad Mizanur, Amara, Mouna, Suleiman, Rami K., Kumar, Arumugam Madhan, Al-Badour, Fadi A., Abdelmoumen, Guedri, Meliani, Mohammed Hadj
Format: Article
Language:English
Subjects:
API 5L pipe steel
Experimental study
Material master failure curve
Notch stress intensity factor
Numerical validation
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Summary:This study focuses on the evaluation of the Notch Stress Intensity Factor (NSIF) as a key parameter for estimating the material's master failure curve in API 5L pipe steel. The research encompasses both experimental investigations and numerical validations to comprehensively assess the applicability of NSIF in predicting failure behavior. Through a series of controlled experiments, various notched specimens were subjected to different loading conditions, allowing the determination of NSIF values. Concurrently, a numerical framework was developed using finite element analysis to simulate the stress distribution near the notches. The experimental results were compared with the numerical simulations to validate the accuracy of the proposed approach. This research contributes to enhancing the understanding of how NSIF can serve as a reliable indicator of failure potential in industrial applications, particularly in the context of pipeline structures. The findings highlight the significance of NSIF-based predictions in ensuring the integrity and safety of materials under varying loading conditions.
ISSN:2238-7854
DOI:10.1016/j.jmrt.2024.09.224