An approach for determining an appropriate assumed distribution of fatigue life under limited data

被引:70
作者
Zhao, YX [1 ]
Gao, Q
Wang, JN
机构
[1] SW Jiao Tong Univ, Inst Engn Mech, Chengdu 610031, Peoples R China
[2] SW Jiao Tong Univ, Inst Appl Math, Chengdu 610031, Peoples R China
关键词
fatigue; extreme maximum-value distribution; reliability analysis;
D O I
10.1016/S0951-8320(99)00036-8
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:1 / 7
页数:7
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