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Improved maximum likelihood method for P-S-N curve fitting method with small number specimens and application in T-welded joint

In fatigue data analysis, fitting accurate P-S-N curve is problematic if only a small number of specimen is available, especially to evaluate the relationship between the stress level and the standard deviation. This paper proposes a sample information reconstruction method that can effectively solv...

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Detalles Bibliográficos
Autores principales: Liu, Wenfei, Zhang, Li, He, Liwen, Liu, Hailang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628306/
https://www.ncbi.nlm.nih.gov/pubmed/37932416
http://dx.doi.org/10.1038/s41598-023-46594-y
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author Liu, Wenfei
Zhang, Li
He, Liwen
Liu, Hailang
author_facet Liu, Wenfei
Zhang, Li
He, Liwen
Liu, Hailang
author_sort Liu, Wenfei
collection PubMed
description In fatigue data analysis, fitting accurate P-S-N curve is problematic if only a small number of specimen is available, especially to evaluate the relationship between the stress level and the standard deviation. This paper proposes a sample information reconstruction method that can effectively solve this problem. Based on this method and the life equivalent principle, a new maximum likelihood method (which is abbreviated to improved maximum likelihood method) is proposed for P-S-N curve fitting. T-joint specimens of Q450NQR1 steel were fabricated and tested, then the P-S-N curves was fitted by the improved maximum likelihood method, least square method, maximum likelihood method, standard BS7608 and standard IIW. Finally, P-S-N curves by three methods and two standards are compared and analyzed. The results show that the relevant parameters of the P-S-N curve with 99.9% survival probability fitted by the improved maximum likelihood method are similar to those in the two standards, and it is indicated that the improved maximum likelihood method is a better way for P-S-N curve fitting with the small number of fatigue test specimens.
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spelling pubmed-106283062023-11-08 Improved maximum likelihood method for P-S-N curve fitting method with small number specimens and application in T-welded joint Liu, Wenfei Zhang, Li He, Liwen Liu, Hailang Sci Rep Article In fatigue data analysis, fitting accurate P-S-N curve is problematic if only a small number of specimen is available, especially to evaluate the relationship between the stress level and the standard deviation. This paper proposes a sample information reconstruction method that can effectively solve this problem. Based on this method and the life equivalent principle, a new maximum likelihood method (which is abbreviated to improved maximum likelihood method) is proposed for P-S-N curve fitting. T-joint specimens of Q450NQR1 steel were fabricated and tested, then the P-S-N curves was fitted by the improved maximum likelihood method, least square method, maximum likelihood method, standard BS7608 and standard IIW. Finally, P-S-N curves by three methods and two standards are compared and analyzed. The results show that the relevant parameters of the P-S-N curve with 99.9% survival probability fitted by the improved maximum likelihood method are similar to those in the two standards, and it is indicated that the improved maximum likelihood method is a better way for P-S-N curve fitting with the small number of fatigue test specimens. Nature Publishing Group UK 2023-11-06 /pmc/articles/PMC10628306/ /pubmed/37932416 http://dx.doi.org/10.1038/s41598-023-46594-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Liu, Wenfei
Zhang, Li
He, Liwen
Liu, Hailang
Improved maximum likelihood method for P-S-N curve fitting method with small number specimens and application in T-welded joint
title Improved maximum likelihood method for P-S-N curve fitting method with small number specimens and application in T-welded joint
title_full Improved maximum likelihood method for P-S-N curve fitting method with small number specimens and application in T-welded joint
title_fullStr Improved maximum likelihood method for P-S-N curve fitting method with small number specimens and application in T-welded joint
title_full_unstemmed Improved maximum likelihood method for P-S-N curve fitting method with small number specimens and application in T-welded joint
title_short Improved maximum likelihood method for P-S-N curve fitting method with small number specimens and application in T-welded joint
title_sort improved maximum likelihood method for p-s-n curve fitting method with small number specimens and application in t-welded joint
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628306/
https://www.ncbi.nlm.nih.gov/pubmed/37932416
http://dx.doi.org/10.1038/s41598-023-46594-y
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