Cargando…

Sensitivity Analysis of Fatigue Crack Growth Model for API Steels in Gaseous Hydrogen

A model to predict fatigue crack growth of API pipeline steels in high pressure gaseous hydrogen has been developed and is presented elsewhere. The model currently has several parameters that must be calibrated for each pipeline steel of interest. This work provides a sensitivity analysis of the mod...

Descripción completa

Detalles Bibliográficos
Autores principales: Amaro, Robert L, Rustagi, Neha, Drexler, Elizabeth S, Slifka, Andrew J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4487288/
https://www.ncbi.nlm.nih.gov/pubmed/26601024
http://dx.doi.org/10.6028/jres.119.002
_version_ 1782378979837083648
author Amaro, Robert L
Rustagi, Neha
Drexler, Elizabeth S
Slifka, Andrew J
author_facet Amaro, Robert L
Rustagi, Neha
Drexler, Elizabeth S
Slifka, Andrew J
author_sort Amaro, Robert L
collection PubMed
description A model to predict fatigue crack growth of API pipeline steels in high pressure gaseous hydrogen has been developed and is presented elsewhere. The model currently has several parameters that must be calibrated for each pipeline steel of interest. This work provides a sensitivity analysis of the model parameters in order to provide (a) insight to the underlying mathematical and mechanistic aspects of the model, and (b) guidance for model calibration of other API steels.
format Online
Article
Text
id pubmed-4487288
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
record_format MEDLINE/PubMed
spelling pubmed-44872882015-11-23 Sensitivity Analysis of Fatigue Crack Growth Model for API Steels in Gaseous Hydrogen Amaro, Robert L Rustagi, Neha Drexler, Elizabeth S Slifka, Andrew J J Res Natl Inst Stand Technol Article A model to predict fatigue crack growth of API pipeline steels in high pressure gaseous hydrogen has been developed and is presented elsewhere. The model currently has several parameters that must be calibrated for each pipeline steel of interest. This work provides a sensitivity analysis of the model parameters in order to provide (a) insight to the underlying mathematical and mechanistic aspects of the model, and (b) guidance for model calibration of other API steels. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2014-02-25 /pmc/articles/PMC4487288/ /pubmed/26601024 http://dx.doi.org/10.6028/jres.119.002 Text en https://creativecommons.org/publicdomain/zero/1.0/ The Journal of Research of the National Institute of Standards and Technology is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright.
spellingShingle Article
Amaro, Robert L
Rustagi, Neha
Drexler, Elizabeth S
Slifka, Andrew J
Sensitivity Analysis of Fatigue Crack Growth Model for API Steels in Gaseous Hydrogen
title Sensitivity Analysis of Fatigue Crack Growth Model for API Steels in Gaseous Hydrogen
title_full Sensitivity Analysis of Fatigue Crack Growth Model for API Steels in Gaseous Hydrogen
title_fullStr Sensitivity Analysis of Fatigue Crack Growth Model for API Steels in Gaseous Hydrogen
title_full_unstemmed Sensitivity Analysis of Fatigue Crack Growth Model for API Steels in Gaseous Hydrogen
title_short Sensitivity Analysis of Fatigue Crack Growth Model for API Steels in Gaseous Hydrogen
title_sort sensitivity analysis of fatigue crack growth model for api steels in gaseous hydrogen
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4487288/
https://www.ncbi.nlm.nih.gov/pubmed/26601024
http://dx.doi.org/10.6028/jres.119.002
work_keys_str_mv AT amarorobertl sensitivityanalysisoffatiguecrackgrowthmodelforapisteelsingaseoushydrogen
AT rustagineha sensitivityanalysisoffatiguecrackgrowthmodelforapisteelsingaseoushydrogen
AT drexlerelizabeths sensitivityanalysisoffatiguecrackgrowthmodelforapisteelsingaseoushydrogen
AT slifkaandrewj sensitivityanalysisoffatiguecrackgrowthmodelforapisteelsingaseoushydrogen