NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
COMPUTATIONAL MODELING OF HYDROGEN-ASSISTED FATIGUE CRACK GROWTH IN PIPELINE STEELS
Published
Author(s)
Andrew Slifka, Robert L. Amaro, Elizabeth S. Drexler, Devin T. O'Connor, Benjamin E. Long
Abstract
In this work we further develop a model to predict hydrogen-assisted fatigue crack growth in steel pipelines and pressure vessels. This implementation of the model is informed by finite element code, which uses an elastic-plastic constitutive model in conjunction with a hydrogen diffusion model to predict the deformation and concentration of hydrogen around a fatigue crack tip. The hydrogen concentration around the crack tip is used to inform our fatigue crack growth model and account for the effect of hydrogen embrittlement. We first use our model to predict the fatigue crack growth of X100 pipeline steel at different levels of applied hydrogen pressure. We show that our simulated results compare well with prior X100 experimental fatigue crack growth work.
Proceedings Title
Proceeding of the International Hydrogen Conference 2016
Slifka, A.
, Amaro, R.
, Drexler, E.
, O'Connor, D.
and Long, B.
(2017),
COMPUTATIONAL MODELING OF HYDROGEN-ASSISTED FATIGUE CRACK GROWTH IN PIPELINE STEELS, Proceeding of the International Hydrogen Conference 2016, Moran, WY, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=921589
(Accessed October 8, 2025)