Computational modeling and experimental investigation of thread fatigue in ultra-high-pressure hydrogen storage vessels

This study presents a comprehensive computational and experimental investigation of thread fatigue behavior in ultra-high-pressure hydrogen storage vessels. A high-fidelity finite element model, incorporating axisymmetric assumptions and nonlinear material properties, is developed to simulate stress concentration and crack propagation under multiaxial cyclic loading. Crack growth is evaluated using an iterative fracture mechanics approach based on stress intensity factors, with polynomial fitting applied to characterize axial stress distributions. The influence of hydrogen embrittlement is explicitly considered in the fatigue life prediction through threshold-based stress intensity criteria. To validate the computational results, fatigue experiments are conducted on SA-372J steel vessels under controlled high-pressure hydrogen environments. The computational prediction indicated a fatigue life of approximately 613,190 cycles, while experimental results showed no measurable leakage or thread damage after 60,000 cycles, confirming excellent agreement and validating the model’s accuracy. This work establishes a reliable computational framework for predicting the fatigue life of threaded connections, offering valuable design insights to improve the safety and durability of hydrogen storage vessels operating under extreme service conditions.

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Publication Details

Journal
Frontiers in Applied Mathematics and Statistics
Published
2025-09-01
DOI
https://doi.org/10.3389/fams.2025.1625013
Primary Topic
Mechanical Failure Analysis and Simulation
Type
article
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article

Computational modeling and experimental investigation of thread fatigue in ultra-high-pressure hydrogen storage vessels

Ruifeng Yin, Xue Jiao, Jing Li, Yanli Zhang
Frontiers in Applied Mathematics and Statistics
Mechanical Failure Analysis and Simulation
article

Computational modeling and experimental investigation of thread fatigue in ultra-high-pressure hydrogen storage vessels

Ruifeng Yin, Xue Jiao, Jing Li, Yanli Zhang
article en

Abstract

This study presents a comprehensive computational and experimental investigation of thread fatigue behavior in ultra-high-pressure hydrogen storage vessels. A high-fidelity finite element model, incorporating axisymmetric assumptions and nonlinear material properties, is developed to simulate stress concentration and crack propagation under multiaxial cyclic loading. Crack growth is evaluated using an iterative fracture mechanics approach based on stress intensity factors, with polynomial fitting applied to characterize axial stress distributions. The influence of hydrogen embrittlement is explicitly considered in the fatigue life prediction through threshold-based stress intensity criteria. To validate the computational results, fatigue experiments are conducted on SA-372J steel vessels under controlled high-pressure hydrogen environments. The computational prediction indicated a fatigue life of approximately 613,190 cycles, while experimental results showed no measurable leakage or thread damage after 60,000 cycles, confirming excellent agreement and validating the model’s accuracy. This work establishes a reliable computational framework for predicting the fatigue life of threaded connections, offering valuable design insights to improve the safety and durability of hydrogen storage vessels operating under extreme service conditions.

Frontiers in Applied Mathematics and StatisticsVol. 11
Hebei University of Science and Technology (CN), Hebei GEO University (CN)
Openalex Percentile: Top 77%
Mechanical Failure Analysis and Simulation
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Computational modeling and experimental investigation of thread fatigue in ultra-high-pressure hydrogen storage vessels — Ruifeng Yin, Xue Jiao, et al. · Frontiers in Applied Mathematics and Statistics (2025) | TGRS Research Map | TGRS