Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for predicting blade vibration fatigue probability life

A technology of vibration fatigue and probabilistic life, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of low confidence level, large influence of distribution type assumption and test, and no confidence interval estimation of probabilistic life prediction results and other problems, to achieve the effect of high calculation efficiency, calculation accuracy and high confidence level

Active Publication Date: 2017-09-08
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF4 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Existing methods have the following three disadvantages: (1) Using traditional probability distribution type assumptions and parameter estimation methods, the calculation results are greatly affected by artificial distribution type assumptions and tests; (2) The calculation accuracy of the proxy model is limited by the sample Influenced by the number of samples, if the number of samples is insufficient or the local functional relationship changes drastically, the calculation accuracy of the proxy model will not be high; (3) the confidence interval has not been estimated for the probabilistic life prediction results, and the confidence level is low

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for predicting blade vibration fatigue probability life
  • Method for predicting blade vibration fatigue probability life
  • Method for predicting blade vibration fatigue probability life

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The blade vibration fatigue probabilistic life prediction model and method provided by the present invention comprise the following steps:

[0047] 1) Establish material C-P-S-N fatigue curve model

[0048] Due to the limited number of fatigue tests at the same stress level, the estimated probability distribution parameters (lognormal distribution parameters) are different from the parent distribution parameters. In order to improve the confidence level of fatigue life estimation, the dispersion coefficient method was introduced to establish the C-P-S-N fatigue curve model.

[0049] Assuming that the fatigue life sample group X of a certain stress level obeys the logarithmic normal distribution, then the random variable Y=lgX obeys the normal distribution N(μ Y ,σ Y ); define F- 1 (μ Y ,σ Y ,1-p) is the quantile value (F -1( ) is the inverse function of the cumulative distribution function of the random variable Y), then the fatigue life corresponding to the relia...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a method for predicting blade vibration fatigue probability life. The method comprises the steps of (1) establishing a C-P-S-N fatigue curve model of a material; (2) establishing a dual maximum entropy tantile function model; and (3) establishing a blade vibration fatigue probability life prediction model and a blade vibration fatigue probability life prediction method based on the C-P-S-N fatigue curve model and the dual maximum entropy tantile function model. The blade vibration fatigue probability life prediction model and the blade vibration fatigue probability life prediction method established by the invention can be successfully applied to prediction of blade vibration fatigue probability life of an aircraft engine. Compared with an existing prediction method, the method for predicting the blade vibration fatigue probability life has the advantages of high calculation accuracy, confidence level and calculation efficiency.

Description

technical field [0001] The invention relates to vibration fatigue life prediction of aerostructure parts, in particular to vibration fatigue probabilistic life prediction of aeroengine blades. Background technique [0002] Blades are an important part of an aero-engine. The engine relies on the blades to compress and expand the gas to generate powerful power to propel the aircraft forward. When the blade is working, it bears high centrifugal load, aerodynamic load, vibration alternating load, etc., and it is prone to failure. Among the structural failures of the engine, the proportion of blade failure is quite high, which seriously affects the safety of the engine. In the aero-engines produced in my country around the 1970s, fatigue failure caused by blade vibration was particularly common, accounting for about 25% of blade failure accidents. With the emergence of modern high-thrust, high-thrust ratio, high-bypass ratio engines, the problem of blade vibration fatigue has b...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/17Y02T90/00
Inventor 温卫东吴福仙翁晶萌陈波
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com