Lessons learned from HIAD 2.0: Inspection and maintenance to avoid hydrogen-induced material failures

Campari, Alessandro; Akel, Antonio Javier Nakhal; Ustolin, Federico; Alvaro, Antonio; Ledda, Alessandro; Agnello, Patrizia; Moretto, Pietro; Patriarca, Riccardo; Paltrinieri, Nicola

doi:10.1016/j.compchemeng.2023.108199

Cited by 31 publications

(6 citation statements)

References 48 publications

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“…L L L abs des abs des (6) where k abs * and k des are temperature-dependent constants that have velocity units. However, this reaction is also valid for gaseous uptake since it is independent on the adsorption mechanism.…”

Section: Fundamentals Of H Dissociation and Adsorptionmentioning

confidence: 99%

“…Despite the extensive understanding of metallic material degradation, the applicability of conventional engineering failure assessment and material selection strategies for H-related applications remains uncertain. HE is the key threat to the structural integrity of metallic materials in green H applications. − Being the smallest atom in the universe, H can adsorb on the surface, diffuse into the bulk, and distribute heterogeneously in and interact with the microstructure of a metal, which can severely undermine the strength, ductility, and fracture toughness . HE affects nearly all engineering alloys employed in green H transport and storage systems, e.g., ferritic steels, , austenitic stainless steels, , nickel alloys, − aluminum alloys, and titanium alloys. − The impact of H extends beyond fracture characteristics to include elasticity, strain hardening, and fatigue life.…”

Section: Introductionmentioning

confidence: 99%

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Hydrogen Embrittlement as a Conspicuous Material Challenge─Comprehensive Review and Future Directions

Yu,

Díaz,

et al. 2024

Chem. Rev.

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Hydrogen is considered a clean and efficient energy carrier crucial for shaping the net-zero future. Large-scale production, transportation, storage, and use of green hydrogen are expected to be undertaken in the coming decades. As the smallest element in the universe, however, hydrogen can adsorb on, diffuse into, and interact with many metallic materials, degrading their mechanical properties. This multifaceted phenomenon is generically categorized as hydrogen embrittlement (HE). HE is one of the most complex material problems that arises as an outcome of the intricate interplay across specific spatial and temporal scales between the mechanical driving force and the material resistance fingerprinted by the microstructures and subsequently weakened by the presence of hydrogen. Based on recent developments in the field as well as our collective understanding, this Review is devoted to treating HE as a whole and providing a constructive and systematic discussion on hydrogen entry, diffusion, trapping, hydrogen–microstructure interaction mechanisms, and consequences of HE in steels, nickel alloys, and aluminum alloys used for energy transport and storage. HE in emerging material systems, such as high entropy alloys and additively manufactured materials, is also discussed. Priority has been particularly given to these less understood aspects. Combining perspectives of materials chemistry, materials science, mechanics, and artificial intelligence, this Review aspires to present a comprehensive and impartial viewpoint on the existing knowledge and conclude with our forecasts of various paths forward meant to fuel the exploration of future research regarding hydrogen-induced material challenges.

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Section: Fundamentals Of H Dissociation and Adsorptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hydrogen Embrittlement as a Conspicuous Material Challenge─Comprehensive Review and Future Directions

Yu,

Díaz,

et al. 2024

Chem. Rev.

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“…Various projects are undergoing worldwide to validate experimental work with such modeling to determine the consequence of hydrogen base release. Examples of such projects are SUSAAN (Baraldi et al 2017), SH2IFT (Ødegård et al 2019), and H2CS (Campari et al 2022). the results and findings of the projects are giving insights into risk control and management in real case scenario.…”

Section: Basic Design Stage or Feed Engineering Stagementioning

confidence: 99%

Risk Management at Various Stages of Project Management of a Hydrogen Facility

Sultana

2023

Proceeding of the 33rd European Safety and Reliability Conference

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Hydrogen is regarded as a potential future energy source. Various hydrogen facilities are being constructed worldwide, and research is advancing fast. Proper and systematic risk management procedures should be prioritized during project development to avoid future mishaps. The present study identifies risk management procedures at various project stages of a hydrogen facility. Risk management problems should be considered at various levels of project management. Risk management entails determining the scope, risk assessment, communication, risk treatment, monitoring, and review. Specific risk management strategies are identified during distinct engineering stages of hydrogen facilities, from conceptual to operational. The usefulness of various methodologies at various project stages is described. Areas and procedures that require further investigation are also highlighted. This study examines existing methodological flaws and current advancements in establishing risk-informed decision-making and highlights the hurdles to initiating hydrogen-related activities. Work has progressed in several areas, including the examination of the consequences of an unintentional incident, the identification of risks, and the comparative investigation of several hydrogen concepts, such as grey, blue, and green. Future research should examine other green hydrogen approaches, such as solar or wind power, to determine their potential regarding safety, resilience, and sustainability. Inherent safety is regarded as the most proactive risk mitigation option. However, this method has received much too little attention on hydrogen safety. The application of various methodologies at various engineering phases should also be investigated. Even though significant work has been done on quantitative risk assessments of hydrogen plants, several specific elements should be investigated further. The information gained from the oil, gas, and LNG (liquified natural gas) sectors can be helpful in this prospect. However, specialized research should be conducted to gather specific knowledge to aid decisionmaking.

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“…The penetration of atomic hydrogen into materials can lead to a decrease in the strength and plasticity of metallic materials, a phenomenon known as hydrogen embrittlement [5] . These unexpected fractures pose significant challenges to the application of corresponding materials in hydrogen‐rich environments and are also the cause of many industrial failures, along with the catastrophic release of related harmful substances into the environment [6–8] . Therefore, it is crucial to rapidly and accurately predict hydrogen embrittlement and design anti‐hydrogen embrittlement materials.…”

Section: Introductionmentioning

confidence: 99%

An ensemble learning strategy for multi‐source hydrogen embrittlement data by introducing missing information

Gong,

Lei,

Sun

et al. 2024

Materials Genome Engineering Advances

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Accurately and quickly predicting hydrogen embrittlement performance is critical for the service of metal materials. However, due to multi‐source heterogeneity, existing hydrogen embrittlement data are missing, making it impractical to train reliable machine learning models. In this study, we proposed an ensemble learning training strategy for missing data based on the Adaboost algorithm. This method introduced a mask matrix with missing data and enabled each round of training to generate sub‐datasets, considering missing value information. The strategy first trained a subset of features based on the existing dataset and a selected method and continuously focused on the combination of features with the highest error for iterative training, where the mask matrix of the missing data was used as the input to fit the weights of each base learner using a neural network. Compared with directly modeling on highly sparse data, the predictive ability of this strategy was significantly improved by approximately 20%. In addition, in the testing of new samples, the predicted mean absolute error of the new model was successfully reduced from 0.2 to 0.09. This strategy offers good adaptability to the hydrogen embrittlement sensitivity of different sizes and can avoid interference from feature importance caused by filling data.

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Lessons learned from HIAD 2.0: Inspection and maintenance to avoid hydrogen-induced material failures

Cited by 31 publications

References 48 publications

Hydrogen Embrittlement as a Conspicuous Material Challenge─Comprehensive Review and Future Directions

Hydrogen Embrittlement as a Conspicuous Material Challenge─Comprehensive Review and Future Directions

Risk Management at Various Stages of Project Management of a Hydrogen Facility

An ensemble learning strategy for multi‐source hydrogen embrittlement data by introducing missing information

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