S-N Curve Modeling for Finite Life Range under the Assumption of Linearly Changing Scatter
Fatigue test data in finite life region are normally analyzed separately for each stress level because of varying scatters, while another method assuming equal scatters on all levels and thus unifying all data into one model is also welcome for its efficient usage of data. Combining the idea of the...
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Veröffentlicht in: | SAE International journal of materials and manufacturing 2014-04, Vol.7 (2), p.454-464, Article 2014-01-0970 |
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description | Fatigue test data in finite life region are normally analyzed separately for each stress level because of varying scatters, while another method assuming equal scatters on all levels and thus unifying all data into one model is also welcome for its efficient usage of data. Combining the idea of the two methods, a new method that assumes linear change of scatter according to stress levels is developed in this paper. The algorithm derives from maximum likelihood estimation and general Newton's method. Monte Carlo method is used for theoretical validation and the new method is proved to be correct with the estimations. Finally a set of test data which shows a tendency of trapezoidal data distribution is analyzed and an S-N curve for finite life range is created. The new method has its advantage in certain situations so it's meaningful to add it to the alternatives of fatigue data analysis methods. |
doi_str_mv | 10.4271/2014-01-0970 |
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subjects | Algorithms Data analysis Estimation methods Fatigue life Fatigue tests Gaussian distributions Linear regression Maximum likelihood estimation Modeling Monte Carlo methods Monte Carlo simulation Newton methods S N diagrams Scattering Standard deviation Statistics Test data |
title | S-N Curve Modeling for Finite Life Range under the Assumption of Linearly Changing Scatter |
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