A maximum likelihood method for estimating P S N curves

A maximum likelihood method for estimating P S N curves is proposed in order to minimize the time and the number of specimens required for laboratory testing. The S N curves are assumed in a three-parameter form. The proposed maximum likelihood method can conveniently be used to estimate the thre...

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Published inInternational journal of fatigue Vol. 19; no. 5; pp. 415 - 419
Main Authors Ling, Jing, Pan, Jwo
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.05.1997
Elsevier Science
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Abstract A maximum likelihood method for estimating P S N curves is proposed in order to minimize the time and the number of specimens required for laboratory testing. The S N curves are assumed in a three-parameter form. The proposed maximum likelihood method can conveniently be used to estimate the three parameters of the S N curves. The required number of test specimens for the maximum likelihood method is less than that for the conventional method. Based on the test results of notched steel specimens subject to axial loads, it is shown here that the P S N curves obtained by the maximum likelihood method agree well with those obtained by the conventional method.
AbstractList A maximum likelihood method for estimating P S N curves is proposed in order to minimize the time and the number of specimens required for laboratory testing. The S N curves are assumed in a three-parameter form. The proposed maximum likelihood method can conveniently be used to estimate the three parameters of the S N curves. The required number of test specimens for the maximum likelihood method is less than that for the conventional method. Based on the test results of notched steel specimens subject to axial loads, it is shown here that the P S N curves obtained by the maximum likelihood method agree well with those obtained by the conventional method.
A maximum likelihood method for estimating P-S-N curves is proposed in order to minimize the time and the number of specimens required for laboratory testing. The S-N curves are assumed in a three-parameter form. The proposed maximum likelihood method can conveniently be used to estimate the three parameters of the S-N curves. The required number of test specimens for the maximum likelihood method is less than that for the conventional method. Based on the test results of notched steel specimens subject to axial loads, it is shown here that the P-S-N curves obtained by the maximum likelihood method agree well with those obtained by the conventional method. Test material was #45 steel (Chinese steel).
Author Pan, Jwo
Ling, Jing
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Issue 5
Keywords fatigue strength
fatigue test
maximum likelihood method
P S N curves
Fatigue life
Fatigue test
Fatigue strength
Test method
Mechanical properties
Fatigue
SN diagram
Likelihood function
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PublicationTitle International journal of fatigue
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References ASTM (BIB3) 1991
Weibull (BIB4) 1961
Nakazawa, Kodama (BIB1) 1987
Nishijima (BIB2) 1987
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  article-title: Standard Practice for Statistical Analysis of Linear or Linearized Stress-Life (
  publication-title: ASTM Standard E739-91
– year: 1961
  ident: BIB4
  article-title: Fatigue Testing and Analysis of Results
– start-page: 1
  year: 1987
  end-page: 19
  ident: BIB2
  article-title: Statistical Analysis of Small Sample Fatigue Data
  publication-title: Statistical Research on Fatigue and Fracture
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  year: 1987
  end-page: 69
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  article-title: Statistical
  publication-title: Statistical Research on Fatigue and Fracture
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Snippet A maximum likelihood method for estimating P S N curves is proposed in order to minimize the time and the number of specimens required for laboratory...
A maximum likelihood method for estimating P-S-N curves is proposed in order to minimize the time and the number of specimens required for laboratory testing....
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StartPage 415
SubjectTerms Applied sciences
Exact sciences and technology
Fatigue
fatigue strength
fatigue test
maximum likelihood method
Mechanical properties and methods of testing. Rheology. Fracture mechanics. Tribology
Metals. Metallurgy
P S N curves
Title A maximum likelihood method for estimating P S N curves
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