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Development of an Engineering-Based Hydrogen-Assisted Fatigue Crack Growth Design Methodology for Code Implementation

Authors: Robert L. Amaro; Elizabeth S. Drexler; Andrew J. Slifka;

Development of an Engineering-Based Hydrogen-Assisted Fatigue Crack Growth Design Methodology for Code Implementation

Abstract

A primary barrier to the widespread use of gaseous hydrogen as an energy carrier is the creation of a hydrogen-specific transportation network. Research performed at the National Institute of Standards and Technology, in conjunction with the U.S. Department of transportation and ASME committee B31.12 (Hydrogen Piping and Pipelines), has resulted in a phenomenological model to predict fatigue crack growth of API pipeline steels cyclically loaded in high-pressure gaseous hydrogen. The full model predicts hydrogen-assisted (HA) fatigue crack growth (FCG) as a function of applied load and hydrogen pressure. Implementation of the model into an engineering format is crucial for the realization of safe, cost-effective pipelines for the nation’s hydrogen infrastructure. Working closely with ASME B31.12, two simplified iterations of the model have been created for an engineering-based code implementation. The engineering-based iterations are detailed here and the benefits of both are discussed. A case study is then presented detailing the use of both versions. The work is concluded with a discussion of the potential impact that model implementation would have upon future hydrogen pipeline installations.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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