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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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Autor principal: Tomaszewski, Tomasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
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.
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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