Fatigue Behaviour of Metallic Materials Under Hydrogen Environment: Historical Perspectives, Recent Developments, and Future Prospects
Abstract
1. Introduction
2. Hydrogen–Metal Interaction and Fatigue Mechanisms
2.1. Overview of Hydrogen Embrittlement Phenomena
- (i)
- Diffusion of hydrogen atoms in the lattice: Diffusion of hydrogen atoms in the lattice, which can penetrate the metal lattice and lead to lattice deformation, grain boundary strengthening and interactions between hydrogen atoms and other atoms in the metal crystal. This may lead to a concentration of stresses within the crystal, which increases the brittleness of the material. The mobility of hydrogen in metal lattices is a large topic. This discussion is limited to the kinetics of hydrogen diffusion, relative to temperature, hydrogen concentration, isotopic mass, and concentration of a third element at and above room temperature [42]. Hydrogen-induced intergranular cracking is the most common type of hydrogen embrittlement. Hydrogen atoms will preferentially diffuse into the grain boundaries and then accumulate in the grain boundaries. Different grain boundaries can significantly affect hydrogen migration. As shown in Figure 1a, the ratio of H diffusion barriers in various grain boundaries to the energy barrier in bulk Fe differs markedly. For the Σ3 and Σ5 grain boundaries, the logarithmic form of this ratio is greater than zero, indicating that these boundaries hinder hydrogen migration. In contrast, for the Σ9 grain boundary, the logarithmic ratio in the y and z directions is less than zero, suggesting that this boundary facilitates hydrogen diffusion. Therefore, it is necessary to reveal the diffusion mechanism of hydrogen atoms at grain boundaries, which contributes to a deeper understanding of hydrogen embrittlement. Notably, He et al. [43] found that the difficulty of hydrogen diffusion along grain boundaries depends mainly on the connectivity of the low electron density regions along the grain boundaries.
- (ii)
- Hydrogen-induced crack propagation: The accumulation of hydrogen atoms within the metal may lead to the formation and extension of cracks. This crack growth can occur in a number of ways, such as the combination of hydrogen atoms with metal atoms to form brittle compounds or the release of hydrogen gas. From scanning electron microscopy observations, the researchers found that in these low-Mn + Si high-purity steels [44], the mode of hydrogen-induced cracking was some type of segregation of interfaces, possibly between martensitic laths, rather than rupture occurring in air. Similar behaviour was found in other high-purity steels. Traidia et al. [45] presented a comprehensive finite element model for numerical simulation of hydrogen-induced cracking (HIC) in steel pipes exposed to sulphur-containing compounds such as hydrogen sulphide (H2S), as illustrated in Figure 1b. The computational results show that in the extension stage, the crack growth behaves as a trap that attracts more hydrogen, and the hydrostatic stress field at the crack tip accelerates the emergence and extension of HIC-related cracks. In addition, HIC decreases with increasing pH and decreasing H2S partial pressure.
- (iii)
- Chemical reactions of hydrogen with metals: Hydrogen forms compounds with metal surfaces that may lead to increased brittleness of the material. These compounds may be brittle and may lead to the formation and extension of surface cracks. The interaction of hydrogen with metals is the cause or basis of many phenomena, ranging from the chemisorption of hydrogen on surfaces, the dissolution of hydrogen in metals, the catalysed reaction of hydrogen as a reactant or stoichiometric constituent, etc., to the formation of metal hydrides. Hydrogen-induced corrosion and hydrogen embrittlement of steel are well known in the chemical processing industry and metallurgy [46,47]. The researchers [48] describe optical observations and x-ray diffraction measurements of the reaction of iron and hydrogen at high pressure to produce iron hydride. These results greatly extend the pressure range characterised by the technically important Fe-hydrogen phase diagram and have implications for issues ranging from hydrogen degradation and ferrous metal embrittlement to the presence of hydrogen in Earth’s metal cores.
- (iv)
- Influence of hydrogen on dislocation motion: Hydrogen atoms may influence dislocation motion in metals and thus the plastic behaviour of materials. This effect may cause the material to be more susceptible to brittle fracture upon loading. In 310S stainless steel, Ferreira et al. [49] observed that the presence of hydrogen reduces the elastic interactions between the barrier and both full and partial dislocations, thus improving the mobility of the dislocations. In high-purity aluminium, it was observed that the introduction and removal of hydrogen from the system leads to a reversal of the direction of motion of dislocations stacked on the barrier, consistent with the reduction in elastic interactions by solute hydrogen. These observations provide direct support for a hydrogen shielding mechanism [49]. Gu et al. [50] present a new framework to quantify the effect of hydrogen on dislocations using large-scale three-dimensional (3D) discrete dislocation dynamics (DDD) simulations. In this model, the first-order elastic interaction energy associated with hydrogen-induced volume changes is considered [50,51,52].
- (i)
- Hydrogen-induced stress corrosion cracking: This similar failure morphology is shown in Figure 2a. In the presence of stress, hydrogen promotes corrosion of the metal and may lead to crack formation and expansion in areas of stress concentration, which can initiate brittle fracture. This mechanism is particularly significant in specific environments, such as in salt water or in environments containing chloride ions [53,54].
- (ii)
- Hydrogen interacts with the electronic structure of materials: Hydrogen atoms may interact with the electrons in metals, changing the electronic structure and properties of the material, thus affecting its mechanical properties. The molecular structure of this interaction is shown in Figure 2b. This change in electronic structure may lead to an increase in the brittleness of the material [55,56,57].
- (iii)
- Hydrogen-promoted crystal defect formation: Hydrogen atoms may promote the formation of defects in metal crystals, such as vacancies, interstices, dislocations, etc., which may lead to increased brittleness of the material [14,15,16]. Figure 2c shows crystal-plasticity contours for Pd–H alloys: as the hydrogen concentration rises from 0 to 7500 appm, the local fraction of screw dislocations at a logarithmic strain of 0.35 increases markedly, confirming that hydrogen enhances dislocation multiplication and heterogeneity.
- (iv)
- Diffusion and aggregation of hydrogen within metals: Diffusion and aggregation of hydrogen atoms in metals may lead to localised stress concentrations that increase the brittleness of the material. This process of diffusion and aggregation may be influenced by factors such as material structure and temperature [58,59]. As shown in Figure 2d, the mobile hydrogen may be located at different interstitial positions. Depending on the potential energy, the atoms can migrate to various positions.
2.2. Summarising Experimental Approaches
3. Fatigue Crack Growth in Hydrogen Environment
3.1. Mechanisms of Fatigue Crack Initiation and Growth
3.2. Factors Affecting Fatigue Crack Growth
4. Fatigue Life Modelling and Prediction in Hydrogen Environment
5. Prevention of Fatigue Characteristic Degradation in Hydrogen Environment
6. Challenges and Future Directions
6.1. Limitations and Challenges
6.2. Future Directions
- (1)
- Real-time monitoring and model-driven closed-loop integration: AI is being actively applied in industrial scenarios. To leverage its rapid prediction capabilities, real-time measurement data should be integrated with physics-informed machine learning models for real-time crack growth prediction. An intelligent monitoring and early-warning system should be established to identify and mitigate crack propagation risks through continuous data acquisition and analysis. This is essential for maximising component performance and ensuring structural safety.
- (2)
- Multiscale digital twin modelling: microscale properties have a significant impact on fatigue behaviour. Advanced techniques such as density functional theory, crystal plasticity finite element method, and phase-field modelling should be incorporated to capture hydrogen transport and cyclic slip localization effects. This will enable the development of efficient multiscale fatigue simulation frameworks under hydrogen environments, facilitating accurate prediction of crack growth behaviour and the influence of various microstructural mechanisms.
- (3)
- Standardised database for high-temperature and high-pressure hydrogen environments: The establishment of standardised databases is critical for the development and deployment of hydrogen-related equipment. A unified dataset on hydrogen-assisted fatigue under elevated temperature and pressure conditions should be developed, along with practical guidelines and empirical correlations. Such databases and standards will support material selection, component design, and lifecycle management.
- (4)
- Uncertainty quantification and structural integrity assessment: Throughout the full lifecycle of hydrogen energy infrastructure, uncertainties exist in material properties, geometric dimensions, and external loading conditions. Understanding how these uncertainties impact structural integrity is crucial. Moreover, in pipelines, storage tanks, and wind–hydrogen integrated systems, risk-based classification and maintenance optimisation can provide decision support for safe and efficient hydrogen infrastructure deployment.
7. Conclusions
- (1)
- Classic micro-mechanisms such as HELP, HEDE, and AIDE have been developed to describe hydrogen embrittlement in metals. Multiscale interactions between hydrogen and microstructural features, such as dislocations and grain boundaries, are key contributors to the deterioration of strength–toughness synergy. While the transitions between different mechanisms have been explored, a unified mechanistic framework that can quantitatively distinguish dominant and secondary mechanisms across different regimes is still lacking.
- (2)
- Advancements in experimental techniques, including high-pressure hydrogen loading-fracture systems, permeation testing, and in situ TEM/AFM, have enabled real-time observation of hydrogen accumulation at crack tips, grain boundary decohesion, and hydride formation. Most studies confirm that hydrogen significantly accelerates fatigue crack growth in steels, leading to a pronounced reduction in fatigue life.
- (3)
- Various modelling approaches have been developed to predict fatigue life in hydrogen environments, including empirical formulas, physics-based models, finite element simulations, and machine learning techniques. Each method has its own advantages and limitations: empirical models enable quick estimation but lack mechanistic insight; physics-based and numerical models offer better physical fidelity but rely heavily on microstructural parameters and computational resources; machine learning shows great potential in high-throughput prediction but is constrained by data quality and interpretability.
- (4)
- Multiple mitigation strategies have been proposed to extend the service life of components in hydrogen environments, including the development of low hydrogen-sensitivity alloys, surface coatings/diffusion layers, electrochemical protection, hydrogen de-trapping via heat treatment, stress-relief structural design, and real-time monitoring. Nevertheless, the development of novel hydrogen-resistant materials and protective systems remains a major challenge.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Categories | Author and Year | Title | Observation |
---|---|---|---|
Empirical models | Cheng et al. (2017) [69] | Fatigue crack growth modelling for pipeline carbon steels under gaseous hydrogen conditions | A corrosion–crack correlation model for modelling fatigue crack growth affected by hydrogen embrittlement in carbon steel of pipelines under gas–hydrogen conditions is proposed. |
Zhao et al. (2017) [20] | Crack growth modelling and life prediction of pipeline steels exposed to near-neutral pH environments: stage II crack growth and overall life prediction | A prediction model that considers load interactions and underload-type variable pressure fluctuations occurring during the operation of oil and gas pipelines is developed. | |
Mansor et al. (2014) [21] | A review of the fatigue failure mechanism of metallic materials under a corroded environment | In fatigue strength assessment, it employs methods such as probabilistic and statistically based assessments to provide reliable results. | |
Huang et al. (2022) [22] | Predictive environmental hydrogen embrittlement on fracture toughness of commercial ferritic steels with hydrogen-modified fracture strain model | This paper presents a practical, parameter-poor numerical model of environmental hydrogen embrittlement. The approach uses a mechanism based on hydrogen-enhanced plasticity in the strain-at-fracture model to describe hydrogen embrittlement. | |
Guan et al. (2024) [25] | Low-cycle fatigue mechanical behaviour of 30CrMo steel under hydrogen environment and numerical verification of chaboche model | A fatigue toughness model and a Chaboche kinematic hardening model were fitted based on low-cycle fatigue test data. It accurately describes the effect of hydrogen on the low-cycle fatigue mechanical behaviour of 30CrMo steel. | |
Physical models | Gangloff (1988) [27] | Crack tip modelling of hydrogen environment embrittlement: application to fracture mechanics life prediction | A comprehensive fracture mechanics life prediction method is proposed to mitigate subcritical crack growth in steels enhanced by hydrogen environment. |
Wang et al. (2016) [29] | Prediction of long-term fatigue life of CFRP composite hydrogen storage vessel based on micromechanics of failure | A life prediction method for CFRP composite hydrogen storage vessels under cyclic fatigue high-temperature conditions based on a combination of the fine mechanics of failure and the time–temperature superposition principle is proposed. | |
Golahmar et al. (2022) [30] | A phase field model for hydrogen-assisted fatigue | This paper presents a new theoretical and numerical phase field-based formulation for predicting hydrogen-assisted fatigue. | |
Numerical simulations | Wu et al. (2021) [32] | Fatigue life prediction and verification of high-pressure hydrogen storage vessel | A finite element model of the vessel considering head winding angle, composite layer thickness, and number of layers is developed and numerically simulated. |
Lee et al. (2023) [33] | Evaluation of the residual fatigue lifetime of a semi-elliptical crack of a Low-Alloy steel pressure vessel under High-Pressure gaseous hydrogen | The fatigue crack growth behaviour under different loading and environmental conditions is analysed using finite elements. And the residual fatigue life was evaluated. | |
Machine learning methods | Guo et al. (2023) [34] | Fatigue properties and life prediction of GS80A steel under the effect of hydrogen-rich environment | A neural network model and typical grey theory were used to fit the fatigue life S-N curves with and without considering the h effect. |
Ahmed et al. (2024) [35] | Modelling of necking area reduction of carbon steel in hydrogen environment using machine learning approach | The results of the study showed that the CatBoost ML model provided the best prediction of the area reduction of these steels in a hydrogen environment. | |
Kim et al. (2022) [36] | Machine learning approach for prediction of hydrogen environment embrittlement in austenitic steels | A machine learning approach is used to predict the effect of alloying elements and test conditions on the hydrogen environmental embrittlement index of austenitic steels. |
Categories | Applicability | Complexity | Advantages | Limitations |
---|---|---|---|---|
Empirical models | Perform a quick assessment of steel with a few known parameters. | Fitting parameters to experimental data are required. | Simple, low cost, easy to implement in design standard. | Valid only within tested parameter space. |
Physical models | Situations where micro-mechanisms (HELP/HEDE) must be captured. | Needs microstructural parameters and crack-tip stress analysis. | Offers mechanistic insight. | Microscopic parameters are difficult to obtain. |
Numerical simulations | Simulation of hydrogen-coupled crack growth in arbitrary structures or components. | Dedicated software and discretization of the finite element mesh are required. | High accuracy. Capable of capturing detailed crack path evolution. | The computational cost for computers is high. |
Machine learning methods | Fast and high-throughput prediction | Requires large datasets. | Once the model is trained, fast predictions can be achieved. | More sensitive to training data and less interpretable. |
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Yang, S.; Meng, D.; Nie, P.; Jesus, A.M.P.D.; Sun, Y. Fatigue Behaviour of Metallic Materials Under Hydrogen Environment: Historical Perspectives, Recent Developments, and Future Prospects. Appl. Sci. 2025, 15, 7818. https://doi.org/10.3390/app15147818
Yang S, Meng D, Nie P, Jesus AMPD, Sun Y. Fatigue Behaviour of Metallic Materials Under Hydrogen Environment: Historical Perspectives, Recent Developments, and Future Prospects. Applied Sciences. 2025; 15(14):7818. https://doi.org/10.3390/app15147818
Chicago/Turabian StyleYang, Shiyuan, Debiao Meng, Peng Nie, Abílio M. P. De Jesus, and Yan Sun. 2025. "Fatigue Behaviour of Metallic Materials Under Hydrogen Environment: Historical Perspectives, Recent Developments, and Future Prospects" Applied Sciences 15, no. 14: 7818. https://doi.org/10.3390/app15147818
APA StyleYang, S., Meng, D., Nie, P., Jesus, A. M. P. D., & Sun, Y. (2025). Fatigue Behaviour of Metallic Materials Under Hydrogen Environment: Historical Perspectives, Recent Developments, and Future Prospects. Applied Sciences, 15(14), 7818. https://doi.org/10.3390/app15147818