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Probabilistic Estimation of Fatigue Strength for Axial and Bending Loading in High-Cycle Fatigue
In this paper, the sensitivity to the type of loads (axial and bending loading) of selected construction materials (AW6063 T6 aluminum alloy, S355J2+C structural steel, and 1.4301 acid-resistant steel) in high-cycle fatigue was verified. The obtained S-N fatigue characteristics were described by a p...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085001/ https://www.ncbi.nlm.nih.gov/pubmed/32150873 http://dx.doi.org/10.3390/ma13051148 |
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author | Tomaszewski, Tomasz Strzelecki, Przemysław Mazurkiewicz, Adam Musiał, Janusz |
author_facet | Tomaszewski, Tomasz Strzelecki, Przemysław Mazurkiewicz, Adam Musiał, Janusz |
author_sort | Tomaszewski, Tomasz |
collection | PubMed |
description | In this paper, the sensitivity to the type of loads (axial and bending loading) of selected construction materials (AW6063 T6 aluminum alloy, S355J2+C structural steel, and 1.4301 acid-resistant steel) in high-cycle fatigue was verified. The obtained S-N fatigue characteristics were described by a probabilistic model of the 3-parameters Weibull cumulative distribution function. The main area of research concerned the correct implementation of the weakest link theory model. The theory is based on a highly-stressed surface area and a highly-stressed volume in the region of the highest stresses. For this purpose, an analytical model and a numerical model based on the finite element method were used. The model that gives the lowest error implemented in specific test conditions was determined on the basis of high-cycle fatigue analysis. For the analyzed materials, it was a highly-stressed volume model based on the weakest link theory. |
format | Online Article Text |
id | pubmed-7085001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70850012020-03-23 Probabilistic Estimation of Fatigue Strength for Axial and Bending Loading in High-Cycle Fatigue Tomaszewski, Tomasz Strzelecki, Przemysław Mazurkiewicz, Adam Musiał, Janusz Materials (Basel) Article In this paper, the sensitivity to the type of loads (axial and bending loading) of selected construction materials (AW6063 T6 aluminum alloy, S355J2+C structural steel, and 1.4301 acid-resistant steel) in high-cycle fatigue was verified. The obtained S-N fatigue characteristics were described by a probabilistic model of the 3-parameters Weibull cumulative distribution function. The main area of research concerned the correct implementation of the weakest link theory model. The theory is based on a highly-stressed surface area and a highly-stressed volume in the region of the highest stresses. For this purpose, an analytical model and a numerical model based on the finite element method were used. The model that gives the lowest error implemented in specific test conditions was determined on the basis of high-cycle fatigue analysis. For the analyzed materials, it was a highly-stressed volume model based on the weakest link theory. MDPI 2020-03-05 /pmc/articles/PMC7085001/ /pubmed/32150873 http://dx.doi.org/10.3390/ma13051148 Text en © 2020 by the authors. 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 Strzelecki, Przemysław Mazurkiewicz, Adam Musiał, Janusz Probabilistic Estimation of Fatigue Strength for Axial and Bending Loading in High-Cycle Fatigue |
title | Probabilistic Estimation of Fatigue Strength for Axial and Bending Loading in High-Cycle Fatigue |
title_full | Probabilistic Estimation of Fatigue Strength for Axial and Bending Loading in High-Cycle Fatigue |
title_fullStr | Probabilistic Estimation of Fatigue Strength for Axial and Bending Loading in High-Cycle Fatigue |
title_full_unstemmed | Probabilistic Estimation of Fatigue Strength for Axial and Bending Loading in High-Cycle Fatigue |
title_short | Probabilistic Estimation of Fatigue Strength for Axial and Bending Loading in High-Cycle Fatigue |
title_sort | probabilistic estimation of fatigue strength for axial and bending loading in high-cycle fatigue |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085001/ https://www.ncbi.nlm.nih.gov/pubmed/32150873 http://dx.doi.org/10.3390/ma13051148 |
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