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Statistical Size Effect in Fatigue Properties for Mini-Specimens
The study verifies the sensitivity of selected construction materials (S235JR structural steel and 1.4301 stainless steel) to the statistical size effect. The P–S–N curves were determined experimentally under high-cycle fatigue conditions for two specimen sizes (mini-specimen and standard specimen)....
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7288318/ https://www.ncbi.nlm.nih.gov/pubmed/32455891 http://dx.doi.org/10.3390/ma13102384 |
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author | Tomaszewski, Tomasz |
author_facet | Tomaszewski, Tomasz |
author_sort | Tomaszewski, Tomasz |
collection | PubMed |
description | The study verifies the sensitivity of selected construction materials (S235JR structural steel and 1.4301 stainless steel) to the statistical size effect. The P–S–N curves were determined experimentally under high-cycle fatigue conditions for two specimen sizes (mini-specimen and standard specimen). The results were analyzed using a probabilistic model of the three-parameter Weibull cumulative distribution function. The analysis included the evaluation of the technological process effects on the results based on the material microstructure near the surface layer and the macro-fractography. The differences in the susceptibility to the size effect validated the applicability of the test method to mini-specimen and showed different populations of the distribution of critical material defects. |
format | Online Article Text |
id | pubmed-7288318 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72883182020-06-17 Statistical Size Effect in Fatigue Properties for Mini-Specimens Tomaszewski, Tomasz Materials (Basel) Article The study verifies the sensitivity of selected construction materials (S235JR structural steel and 1.4301 stainless steel) to the statistical size effect. The P–S–N curves were determined experimentally under high-cycle fatigue conditions for two specimen sizes (mini-specimen and standard specimen). The results were analyzed using a probabilistic model of the three-parameter Weibull cumulative distribution function. The analysis included the evaluation of the technological process effects on the results based on the material microstructure near the surface layer and the macro-fractography. The differences in the susceptibility to the size effect validated the applicability of the test method to mini-specimen and showed different populations of the distribution of critical material defects. MDPI 2020-05-22 /pmc/articles/PMC7288318/ /pubmed/32455891 http://dx.doi.org/10.3390/ma13102384 Text en © 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tomaszewski, Tomasz Statistical Size Effect in Fatigue Properties for Mini-Specimens |
title | Statistical Size Effect in Fatigue Properties for Mini-Specimens |
title_full | Statistical Size Effect in Fatigue Properties for Mini-Specimens |
title_fullStr | Statistical Size Effect in Fatigue Properties for Mini-Specimens |
title_full_unstemmed | Statistical Size Effect in Fatigue Properties for Mini-Specimens |
title_short | Statistical Size Effect in Fatigue Properties for Mini-Specimens |
title_sort | statistical size effect in fatigue properties for mini-specimens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7288318/ https://www.ncbi.nlm.nih.gov/pubmed/32455891 http://dx.doi.org/10.3390/ma13102384 |
work_keys_str_mv | AT tomaszewskitomasz statisticalsizeeffectinfatiguepropertiesforminispecimens |