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A methodology to determine a conditional probability density distribution surface from S-N data

机译:从S-N数据确定条件概率密度分布面的方法

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摘要

A conditional probability density distribution surface (CPDDS) is constructed by two functions in this paper. One is the function of population mean and the stress level; the other is the function of standard deviation and the stress level. The surface represents the probability density curve of fatigue life changing with the stress level. A new definition of fatigue limit as well as the determination method is given in this paper according to the small probability event of CPDDS. The proposed method can save considerable cost and time in the determination of fatigue limit.
机译:本文通过两个函数构造了条件概率密度分布面(CPDDS)。一是人口平均数和压力水平的函数;另一个是标准偏差和应力水平的函数。表面表示疲劳寿命随应力水平变化的概率密度曲线。根据CPDDS的小概率事件,给出了疲劳极限的新定义和确定方法。所提出的方法可以在确定疲劳极限时节省大量成本和时间。

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