公开(公告)号：US20140358500A1

公开(公告)日：2014-12-04

申请号：US14134530

申请日：2013-12-19

Applicant: United Technologies Corporation

Inventor： Robert J. Morris ,  Benjamin D. Hall ,  Lauren Gray ,  Ming-Ta Yang ,  Perry Bowes

IPC: G06F17/50

CPC classification number: G06F17/5086 ,  F01D5/16 ,  F01D21/003 ,  F05D2260/81 ,  F05D2260/961 ,  G06F17/5018 ,  G06F2217/76

Abstract: 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.

Abstract translation: 公开了一种用于分析燃气轮机发动机设计中的高循环疲劳（HCF）的新概念方法。 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将组件的预定参数空间的参数数据输入到至少一个计算机处理器中，以构建多个灵活模型 基于所述组件在所述预定参数空间上的参数数据，使用所述至少一个计算机处理器来基于所述多个灵活模型构建所述组件的多个仿真器，并且使用所述至少一个计算机处理器 至少部分地基于组件在预定参数空间和多个仿真器上的参数数据来预测HCF的概率。