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\begin{document}

\title{Maximum likelihood method based on specimen information reconstruction
and life equivalent principle for P-S-N curve fitting}



\author[1]{Wenfei Liu}%
\author[1]{Yongju Zhang}%
\author[1]{Liwen He}%
\author[1]{Zhixiong Gao}%
\author[1]{Xiongtao Pu}%
\affil[1]{Affiliation not available}%


\vspace{-1em}



  
  \date{May 07, 2024}


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\selectlanguage{english}
\begin{abstract}
In order to improve the accuracy of the relationship between standard
deviation and stress with a small number of fatigue test data, the
specimen information reconstruction method is proposed in this paper.
Meanwhile, the new maximum likelihood method is designed for P-S-N curve
fitting, which is based on the specimen information reconstruction and
the life equivalent principle. According to the main type of welded
joint on the 80t gondola car body, the T-joint specimens were fabricated
and tested, then the P-S-N curve is fitted and extrapolated. Finally,
according to the result of measured stress spectrum on 80t gondola car
body, it is verified that the accuracy of the P-S-N curve fitted in this
paper is higher, and it is indicate that maximum likelihood method based
on specimen information reconstruction and life equivalent principle is
a better way for P-S-N curve fitting, especially for the small number of
fatigue test data.%
\end{abstract}%



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\textbf{Hosted file}

\verb`Maximum likelihood method based on specimen information reconstruction.docx`  available at \url{https://authorea.com/users/311925/articles/442565-maximum-likelihood-method-based-on-specimen-information-reconstruction-and-life-equivalent-principle-for-p-s-n-curve-fitting}

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