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A Statistical Model of Cleavage Fracture Toughness of Ferritic Steel DIN 22NiMoCr37 at Different Temperatures
It is a conventional practice to adopt Weibull statistics with a modulus of 4 for characterizing the statistical distribution of cleavage fracture toughness of ferritic steels, albeit based on a rather weak physical justification. In this study, a statistical model for cleavage fracture toughness of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470563/ https://www.ncbi.nlm.nih.gov/pubmed/30934560 http://dx.doi.org/10.3390/ma12060982 |
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author | Qian, Guian Lei, Wei-Sheng Tong, Zhenfeng Yu, Zhishui |
author_facet | Qian, Guian Lei, Wei-Sheng Tong, Zhenfeng Yu, Zhishui |
author_sort | Qian, Guian |
collection | PubMed |
description | It is a conventional practice to adopt Weibull statistics with a modulus of 4 for characterizing the statistical distribution of cleavage fracture toughness of ferritic steels, albeit based on a rather weak physical justification. In this study, a statistical model for cleavage fracture toughness of ferritic steels is proposed according to a new local approach model. The model suggests that there exists a unique correlation of the cumulative failure probability, fracture toughness and yield strength. This correlation is validated by the Euro fracture toughness dataset for 1CT specimens at four different temperatures, which deviates from the Weibull statistical model with a modulus of four. |
format | Online Article Text |
id | pubmed-6470563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64705632019-04-27 A Statistical Model of Cleavage Fracture Toughness of Ferritic Steel DIN 22NiMoCr37 at Different Temperatures Qian, Guian Lei, Wei-Sheng Tong, Zhenfeng Yu, Zhishui Materials (Basel) Letter It is a conventional practice to adopt Weibull statistics with a modulus of 4 for characterizing the statistical distribution of cleavage fracture toughness of ferritic steels, albeit based on a rather weak physical justification. In this study, a statistical model for cleavage fracture toughness of ferritic steels is proposed according to a new local approach model. The model suggests that there exists a unique correlation of the cumulative failure probability, fracture toughness and yield strength. This correlation is validated by the Euro fracture toughness dataset for 1CT specimens at four different temperatures, which deviates from the Weibull statistical model with a modulus of four. MDPI 2019-03-25 /pmc/articles/PMC6470563/ /pubmed/30934560 http://dx.doi.org/10.3390/ma12060982 Text en © 2019 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 | Letter Qian, Guian Lei, Wei-Sheng Tong, Zhenfeng Yu, Zhishui A Statistical Model of Cleavage Fracture Toughness of Ferritic Steel DIN 22NiMoCr37 at Different Temperatures |
title | A Statistical Model of Cleavage Fracture Toughness of Ferritic Steel DIN 22NiMoCr37 at Different Temperatures |
title_full | A Statistical Model of Cleavage Fracture Toughness of Ferritic Steel DIN 22NiMoCr37 at Different Temperatures |
title_fullStr | A Statistical Model of Cleavage Fracture Toughness of Ferritic Steel DIN 22NiMoCr37 at Different Temperatures |
title_full_unstemmed | A Statistical Model of Cleavage Fracture Toughness of Ferritic Steel DIN 22NiMoCr37 at Different Temperatures |
title_short | A Statistical Model of Cleavage Fracture Toughness of Ferritic Steel DIN 22NiMoCr37 at Different Temperatures |
title_sort | statistical model of cleavage fracture toughness of ferritic steel din 22nimocr37 at different temperatures |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470563/ https://www.ncbi.nlm.nih.gov/pubmed/30934560 http://dx.doi.org/10.3390/ma12060982 |
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