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

An Adaptive Processing Method for Life Probability Analysis of Turbine Blisk Structure

A technology of turbine blisk and probabilistic analysis, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as unacceptable computational cost, and achieve the effect of solving huge computational load

Active Publication Date: 2018-10-19
云翼超算(北京)软件科技有限公司
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the finite element analysis of the turbine blade disk fatigue life of such a large order of magnitude is directly carried out to obtain the life probability distribution, the calculation cost is obviously unacceptable

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
  • An Adaptive Processing Method for Life Probability Analysis of Turbine Blisk Structure
  • An Adaptive Processing Method for Life Probability Analysis of Turbine Blisk Structure
  • An Adaptive Processing Method for Life Probability Analysis of Turbine Blisk Structure

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] Interpretation of related concepts involved in the present invention:

[0018] Number of input factors: The number of input factors has a great impact on the performance of the proxy model. The more input factors will reduce the calculation efficiency and accuracy, in order to verify the relationship between the performance of the proxy model and the number of input factors, the input factors in this method The number of input factors is 2-5, which is defined as few factors, and the number of input factors is 8-13, which is defined as multiple factors.

[0019] The degree of nonlinearity of the problem: The degree of nonlinearity of the problem has a significant impact on the performance of the proxy model. In this method, according to the number of input factors read in, the minimum sample size required to construct the second-order polynomial response surface is firstly sampled and then Calculate the stress response value, construct the second-order response surface f...

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 relates to an adaptive processing method oriented to the service life probability analysis of a turbine leaf disc structure. Three classical types of functions in an engineering problem are selected to serve as verification functions to carry out fitting performance analysis on seven common agent models from four aspects including a factor number, a nonlinear degree among factors, calculation precision and calculation efficiency, a calling rule of each class of agent model is formed, and the rule is integrated into a probability design system of the turbine leaf disc structure to form one set of adaptive agent models. A DOE (Design Of Experiments) method is adopted to screen the geometrical parameters of the structure, and an efficient subagent model suitable for a multifactor high-order nonlinear problem is constructed so as to screen a key geometrical parameter which obviously affects stress as a random variable. A DACE (Design And Analysis of Computer Experiments) method is adopted to construct a high-precision high-efficiency subagent model suitable for a few-factor low-order nonlinear problem, Monte Carlo sampling is carried out on the basis, and reliability data is output to finish a whole probability analysis process.

Description

technical field [0001] The invention is an adaptive processing method aiming at the life reliability design of the turbine blisk structure of an aero-engine, which can effectively reduce the number of random variables and The invention relates to an approximate model method for a huge finite element simulation sampling calculation amount brought by probability analysis, and belongs to the technical field of aerospace engines. Background technique [0002] In structural probability analysis, design variables are treated as random variables. In order to obtain credible random response output from random variables, large-scale sampling calculations are required. Monte Carlo sampling methods are widely used in engineering. The turbine blisk structure, as the hot end part of an aero engine, has extremely high requirements on life reliability. According to the British defense standard "General Specifications for Aeronautical Gas Turbine Engines" (DEFSTAN00-971), the -3σ life with ...

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 Patents(China)
IPC IPC(8): G06F17/50
CPCG06F30/17
Inventor 樊江胡殿印廖祜明李达王荣桥
Owner 云翼超算(北京)软件科技有限公司
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