October 12, 2025MetalsOpen Access

Experimental and Machine Learning-Based Assessment of Fatigue Crack Growth in API X60 Steel Under Hydrogen–Natural Gas Blending Conditions

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Increasing hydrogen concentration leads to sharply elevated fatigue crack growth rates in API X60 steel.
At 100% hydrogen, crack propagation rates increase significantly, up to two orders of magnitude faster than in 0% hydrogen conditions.
Hydrogen addition reduces fatigue life by ~33% at 50% hydrogen and more than 55% in pure hydrogen, impacting structural integrity.
A machine learning framework accurately predicts crack growth behavior, enhancing integrity assessment in hydrogen-compatible pipeline steels.

Authors

NANayem AhmedShahjalal University of Science and Technology RARamadan Mohammed AhmedUniversity of Oklahoma SRSamin RhythmUniversity of Oklahoma

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Implication

Experimental analysis shows increased fatigue crack growth rates in API X60 steel under hydrogen-naturals gas blends, indicating potential material failures.

Cite This Study

Ahmed et al. (2025) studied this question.

synapsesocial.com/papers/68ebe3d6becc64ad52fdacd2 https://doi.org/10.3390/met15101125

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Implication

Experimental analysis shows increased fatigue crack growth rates in API X60 steel under hydrogen-naturals gas blends, indicating potential material failures.

Experimental and Machine Learning-Based Assessment of Fatigue Crack Growth in API X60 Steel Under Hydrogen–Natural Gas Blending Conditions

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Discussion

Implication

Cite This Study

Experimental and Machine Learning-Based Assessment of Fatigue Crack Growth in API X60 Steel Under Hydrogen–Natural Gas Blending Conditions

Key Points

Discussion

Implication

Cite This Study