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

A Damage Identification Method for Beam Structures Based on Multi-scale Data Fusion Theory

A technology of data fusion and identification methods, which is applied in special data processing applications, testing of machine/structural components, elastic testing, etc., can solve problems that are difficult to apply, achieve strong identification capabilities, improve anti-interference, and prevent catastrophe The effect of the accident

Active Publication Date: 2020-03-17
XI AN JIAOTONG UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the current damage identification literature, it is difficult to apply to the identification of multiple minor damages under strong noise interference because the measurement noise, multiple and slight damages are not considered at the same time.

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
  • A Damage Identification Method for Beam Structures Based on Multi-scale Data Fusion Theory
  • A Damage Identification Method for Beam Structures Based on Multi-scale Data Fusion Theory
  • A Damage Identification Method for Beam Structures Based on Multi-scale Data Fusion Theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The present invention will be further explained below in conjunction with specific embodiments and the drawings in the specification.

[0040] See figure 1 , The present invention includes the following steps:

[0041] 1) Measure the mode shape of the beam structure with local damage, use the central difference method to select the nth mode W n Perform calculations to obtain the n-th mode curvature of the structure:

[0042]

[0043] Where W n "(X) is the curvature of the nth mode shape at the xth measurement point; W n (x) is the curvature of the nth mode shape at the xth measurement point; l is the measurement sampling interval;

[0044] 2) Multi-scale decomposition of the original vibration shape curvature, the calculation formula of the multi-scale decomposition is:

[0045]

[0046] Among them, L σ (x) is the multi-scale decomposition coefficient at the xth measurement point under the scale σ; G σ (x) is the multi-scale kernel function value at the xth measurement point und...

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 beam structure damage identification method based on the multi-scale data fusion theory. As for the problems of interference of measurement noise to identification results and difficulty in identifying slight damage in the damage identification of an actual structure, the method of the invention can reduce the influence of the measurement noise by multi-scale decomposition of the curvature of the vibration mode and perform fusion calculation according to the data obtained by the multi-scale decomposition to finally achieve the purpose of accurately identifying the slight damage while overcoming the measurement noise. The method of the invention can accurately identify the single or multiple damage of the structure in an environment with strong noisy interference, without the knowledge of structural material properties and boundary conditions, so the method has strong applicability and can effectively reduce the economic loss and prevent the occurrence of catastrophic accidents.

Description

Technical field [0001] The invention relates to an identification method when a beam structure is locally damaged in buildings, bridges, aerospace and energy power systems, in particular to a beam structure damage identification method based on multi-scale data fusion theory. Background technique [0002] The beam structure is widely used in all aspects of national economic life. Take bridges as an example. As an important part of transportation, they are the focus of a country's infrastructure construction, as well as a symbol of economic development and technological progress. In recent years, the beam-shaped structure health diagnosis technology has become a research hotspot in the engineering field, and the health diagnosis system and its theoretical research have also made great progress. Through the analysis of the mechanical properties of the structure, especially the changes in the vibration characteristics before and after damage, it is possible to accurately identify t...

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): G01M5/00G06F30/13
CPCG01M5/0008G01M5/0033G01M5/0066G06F30/13
Inventor 徐自力郭天
Owner XI AN JIAOTONG UNIV
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