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首页> 外文期刊>Journal of statistical computation and simulation >THE RANDOM FATIGUE-LIMIT MODEL IN MULTI-FACTOR EXPERIMENTS
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THE RANDOM FATIGUE-LIMIT MODEL IN MULTI-FACTOR EXPERIMENTS

机译:多因素实验中的随机疲劳极限模型

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The Random Fatigue-Limit (RFL) model in Pascual and Meeker (1999a) was motivated by the need to describe fatigue life of certain materials. The RFL model describes the relationship between lifetime (measured in cycles) and a single factor, often the applied stress on the material. It has been found to be particularly useful for modeling high-cycle fatigue (HCF), that is, lifetimes that exceed 10 million cycles. Outputs from this model can be used as input for system models for lifetimes of jet engines for design purposes. Understanding how well parts hold up as a function of stress and other environmental variables would be valuable to engineers designing new and better engines. In this article, we show how the RFL model can be extended from single factor (single stress) to multi-factor situations. We fit the proposed model extensions to available data and describe methods to assess the adequacy of the fits.
机译:Pascual and Meeker(1999a)中的随机疲劳极限(RFL)模型是出于描述某些材料疲劳寿命的需要。 RFL模型描述了寿命(以周期为单位)与单个因素(通常是材料上施加的应力)之间的关系。已经发现它对于建模高循环疲劳(HCF)特别有用,也就是说,其寿命超过1000万次循环。从该模型的输出可以用作系统模型的输入,以用于设计目的在喷气发动机的使用寿命中。了解零件作为应力和其他环境变量的函数的保持状况,对于设计新型和更好的发动机的工程师而言非常有价值。在本文中,我们展示了如何将RFL模型从单因素(单应力)扩展到多因素情况。我们将建议的模型扩展与可用数据进行拟合,并描述评估拟合是否充分的方法。

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