Experimental Method for Plotting S-N Curve with a Small Number of Specimens

The study presents two approaches to plotting an S-N curve based on the experimental results. The first approach is commonly used by researchers and presented in detail in many studies and standard documents. The model uses a linear regression whose parameters are estimated by using the least square...

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Main Authors: Strzelecki Przemysław, Sempruch Janusz
Format: Article
Language:English
Published: Sciendo 2016-12-01
Series:Polish Maritime Research
Subjects:
Online Access:https://doi.org/10.1515/pomr-2016-0079
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spelling doaj-1a8adf1f214d467d8dbf625d51578d162021-09-05T13:59:49ZengSciendoPolish Maritime Research2083-74292016-12-0123412913710.1515/pomr-2016-0079pomr-2016-0079Experimental Method for Plotting S-N Curve with a Small Number of SpecimensStrzelecki Przemysław0Sempruch Janusz1PhD, University of Science and Technology in Bydgoszcz Al. Prof. S. Kaliskiego 7 85-796 Bydgoszcz, PolandUniversity of Science and Technology in Bydgoszcz Al. Prof. S. Kaliskiego 7 85-796 Bydgoszcz, PolandThe study presents two approaches to plotting an S-N curve based on the experimental results. The first approach is commonly used by researchers and presented in detail in many studies and standard documents. The model uses a linear regression whose parameters are estimated by using the least squares method. A staircase method is used for an unlimited fatigue life criterion. The second model combines the S-N curve defined as a straight line and the record of random occurrence of the fatigue limit. A maximum likelihood method is used to estimate the S-N curve parameters. Fatigue data for C45+C steel obtained in the torsional bending test were used to compare the estimated S-N curves. For pseudo-random numbers generated by using the Mersenne Twister algorithm, the estimated S-N curve for 10 experimental results plotted by using the second model, estimates the fatigue life in the scatter band of the factor 3. The result gives good approximation, especially regarding the time required to plot the S-N curve.https://doi.org/10.1515/pomr-2016-0079high-cycles fatigues-n curvefatigue testsnumber of specimens
collection DOAJ
language English
format Article
sources DOAJ
author Strzelecki Przemysław
Sempruch Janusz
spellingShingle Strzelecki Przemysław
Sempruch Janusz
Experimental Method for Plotting S-N Curve with a Small Number of Specimens
Polish Maritime Research
high-cycles fatigue
s-n curve
fatigue tests
number of specimens
author_facet Strzelecki Przemysław
Sempruch Janusz
author_sort Strzelecki Przemysław
title Experimental Method for Plotting S-N Curve with a Small Number of Specimens
title_short Experimental Method for Plotting S-N Curve with a Small Number of Specimens
title_full Experimental Method for Plotting S-N Curve with a Small Number of Specimens
title_fullStr Experimental Method for Plotting S-N Curve with a Small Number of Specimens
title_full_unstemmed Experimental Method for Plotting S-N Curve with a Small Number of Specimens
title_sort experimental method for plotting s-n curve with a small number of specimens
publisher Sciendo
series Polish Maritime Research
issn 2083-7429
publishDate 2016-12-01
description The study presents two approaches to plotting an S-N curve based on the experimental results. The first approach is commonly used by researchers and presented in detail in many studies and standard documents. The model uses a linear regression whose parameters are estimated by using the least squares method. A staircase method is used for an unlimited fatigue life criterion. The second model combines the S-N curve defined as a straight line and the record of random occurrence of the fatigue limit. A maximum likelihood method is used to estimate the S-N curve parameters. Fatigue data for C45+C steel obtained in the torsional bending test were used to compare the estimated S-N curves. For pseudo-random numbers generated by using the Mersenne Twister algorithm, the estimated S-N curve for 10 experimental results plotted by using the second model, estimates the fatigue life in the scatter band of the factor 3. The result gives good approximation, especially regarding the time required to plot the S-N curve.
topic high-cycles fatigue
s-n curve
fatigue tests
number of specimens
url https://doi.org/10.1515/pomr-2016-0079
work_keys_str_mv AT strzeleckiprzemysław experimentalmethodforplottingsncurvewithasmallnumberofspecimens
AT sempruchjanusz experimentalmethodforplottingsncurvewithasmallnumberofspecimens
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