An approach for determining an appropriate assumed distribution of fatigue life under limited data |
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Authors: | Y -X Zhao Q Gao J -N Wang |
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Affiliation: | a Institute of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, People's Republic of China;b Institute of Applied Mechanics, Southwest Jiaotong University, Chengdu 610031, People's Republic of China |
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Abstract: | The case of limited data implies that some unknown uncertainties may be involved in fatigue reliability analysis. For the sake of statistical convenience, for consistency with the relevant physical arguments and, most importantly, to ensure the safety in design evaluation, an approach is developed to determine an appropriate distribution, from four possible assumed distributions—three-parameter Weibull, two-parameter Weibull, lognormal and extreme maximum-value distributions. The approach makes allowance for consistency with the fatigue physics and checking tail fit effects. An application to nine groups of fatigue life data of 16Mn steel (Chinese steel) welded plate specimens shows that the lognormal distribution and the extreme maximum-value distribution may be the appropriate distributions of the fatigue life under limited data. |
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Keywords: | Fatigue Extreme maximum-value distribution Reliability analysis |
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