Probabilistic high cycle fatigue (HCF) design optimization process
US9483605B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 19, 2013 |
| Grant date | Nov 1, 2016 |
| Priority date | — |
| Expiry date | Feb 20, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2119/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.