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Reconstruction of probabilistic S-N curves under fatigue life following lognormal distribution with given confidence
作者姓名:赵永翔  杨冰  彭佳纯
作者单位:State Key Laboratory of Traction Power Southwest Jiaotong University,Chengdu 610031,P. R. China,State Key Laboratory of Traction Power,Southwest Jiaotong University,Chengdu 610031,P. R. China,State Key Laboratory of Traction Power,Southwest Jiaotong University,Chengdu 610031,P. R. China
基金项目:国家高技术研究发展计划(863计划);国家自然科学基金;教育部全国优秀博士学位论文作者专项基金;教育部新世纪优秀人才支持计划
摘    要:When the historic probabilistic S-N curves are given under special survival probability and confidence levels and there is no possible to re-test, fatigue reliability analysis at other levels can not be done except for the special levels. Therefore, the wide applied curves are expected. Monte Carlo reconstruction methods of the test data and the curves are investigated under fatigue life following lognormal distribution. To overcome the non-conservative assessment of existent man-made enlarging the sample size up to thousands, a simulation policy is employed to address the true production where the sample size is controlled less than 20 for material specimens, 10 for structural component specimens and the errors matching the statistical parameters are less than 5 percent. Availability and feasibility of the present methods have been indicated by the reconstruction practice of the test data and curves for 60Si2Mn high strength spring steel of railway industry.

关 键 词:疲劳寿命  对数正态分布  概率分布  S-N曲线  重建  蒙特卡罗模拟法  置信度
收稿时间:2005-12-13
修稿时间:2007-01-30

Reconstruction of probabilistic <Emphasis Type="Italic">S-N</Emphasis> curves under fatigue life following lognormal distribution with given confidence
Zhao?Yong-xiang,Yang?Bing,Peng?Jia-chun.Reconstruction of probabilistic S-N curves under fatigue life following lognormal distribution with given confidence[J].Applied Mathematics and Mechanics(English Edition),2007,28(4):455-460.
Authors:Zhao Yong-xiang  Yang Bing  Peng Jia-chun
Institution:State Key Laboratory of Traction Power, Southwest Jiaotong University,Chengdu 610031, P. R. China
Abstract:When the historic probabilistic S-N curves are given under special survival probability and confidence levels and there is no possible to re-test, fatigue reliability analysis at other levels can not be done except for the special levels. Therefore, the wide applied curves are expected. Monte Carlo reconstruction methods of the test data and the curves are investigated under fatigue life following lognormal distribution. To overcome the non-conservative assessment of existent man-made enlarging the sample size up to thousands, a simulation policy is employed to address the true production where the sample size is controlled less than 20 for material specimens, 10 for structural component specimens and the errors matching the statistical parameters are less than 5 percent. Availability and feasibility of the present methods have been indicated by the reconstruction practice of the test data and curves for 60Si2Mn high strength spring steel of railway industry.
Keywords:fatigue  probabilistic S-N curves  reconstruction  Monte Carlo simulation
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