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

Probability fatigue life prediction method coupling gap and size effect

A technology for fatigue life prediction and size effect, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve problems such as conservative and difficult parameter acquisition, and achieve strong universality, simple solution, and model prediction accuracy. high effect

Pending Publication Date: 2022-01-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA +2
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the nominal stress method is too conservative, and the stress field strength method and critical distance theory have the problem of difficulty in obtaining the required parameters

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
  • Probability fatigue life prediction method coupling gap and size effect
  • Probability fatigue life prediction method coupling gap and size effect
  • Probability fatigue life prediction method coupling gap and size effect

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0046] The present invention verifies the proposed life prediction method through the TC4 material fatigue test data, specifically including the theoretical stress concentration factor K t = 1, 3, 5 fatigue specimens, the corresponding specimen size is as follows figure 1 , where (a) is the stress concentration factor K t = 1 smooth specimen size, (b) is the stress concentration factor K t =3 for the size of the notched specimen, (c) is the stress concentration factor K t =5 notched specimen size. figure 1D is the diameter of the clamping section of the sample, d is the diameter of the gauge section of the sample, r is the radius of the notch, Θ ​​is the opening angle of the notch, and Φ is the arc radius of the gauge section of the smooth sam...

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 discloses a probability fatigue life prediction method coupling a notch and a size effect, and is applied to the field of armored vehicle structural strength checking and reliability evaluation. In order to solve the problem of fatigue life prediction of a metal structural member under the combined action of a notch, a size effect and uncertainty, the invention establishes a metal structural member probability fatigue life prediction method comprehensively considering the notch and the size effect by coupling a high stress volume (area) method and Weibull distribution. The method is based on a high-stress volume (area) method and coincides with a fatigue failure mechanism; the fatigue life dispersity is quantified based on Weibull distribution, the uncertainty of the material can be effectively covered, and the fatigue reliability design requirement is met; and through combination of a volume method and an area method, the method provided by the invention has universality to any failure mode, and is simple and convenient to operate and wide in application range.

Description

technical field [0001] The invention belongs to the field of structural strength checking and reliability evaluation of armored vehicles, and in particular relates to a probabilistic fatigue life prediction technology for notched parts. Background technique [0002] As the basic element and important force of joint operations, armored vehicles play an irreplaceable role on the battlefield. As the future battlefield becomes more complex and changeable, higher requirements are placed on the comprehensive performance of armored vehicles, and the improvement of comprehensive performance means stricter reliability index requirements. Selecting reasonable materials is the key to ensuring the reliability of vehicles in service. Titanium alloy materials have high strength, high toughness, light weight and other properties, and are considered to be perfect armor materials. In recent years, with the promotion and application of new technologies and processes, the manufacturing cost o...

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): G06F30/15G06F30/23G06F119/04G06F119/14
CPCG06F30/15G06F30/23G06F2119/04G06F2119/14
Inventor 朱顺鹏何金超伊枭剑刘勇王喆廖鼎牛晓鹏
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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