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Probabilistic high cycle fatigue (HCF) design optimization process

机译:概率高周疲劳(HCF)设计优化过程

摘要

A novel probabilistic method for analyzing high cycle fatigue (HCF) in a design of a gas turbine engine is disclosed. The method may comprise identifying a component of the gas turbine engine for high cycle fatigue analysis, inputting parametric data of the component over a predetermined parameter space into at least one computer processor, using the at least one computer processor to build a plurality of flexible models of the component based on the parametric data of the component over the predetermined parameter space, using the at least one computer processor to build a plurality of emulators of the component based on the plurality of flexible models, and using the at least one computer processor to predict a probability of HCF based at least in part on the parametric data of the component over the predetermined parameter space and the plurality of emulators.
机译:公开了一种用于分析燃气涡轮发动机的设计中的高循环疲劳(HCF)的新颖的概率方法。该方法可以包括:识别用于高循环疲劳分析的燃气涡轮发动机的部件;使用至少一个计算机处理器来建立多个柔性模型,将预定参数空间上的部件的参数数据输入到至少一个计算机处理器中。基于所述预定参数空间上的组件的参数数据,使用所述至少一个计算机处理器基于所述多个灵活模型构建所述组件的多个仿真器,并使用所述至少一个计算机处理器来对所述组件进行仿真。至少部分地基于预定参数空间上的组件的参数数据和多个仿真器,预测HCF的概率。

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