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

Bayesian Model Correction Method under Multiple Tests Based on Environmental Stimulus Data

A Bayesian model and environment-inspired technology, applied in complex mathematical operations, character and pattern recognition, instruments, etc.

Active Publication Date: 2020-11-03
TONGJI UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical scheme of the present invention can be used to solve the problem of finite element model correction based on actual test data

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
  • Bayesian Model Correction Method under Multiple Tests Based on Environmental Stimulus Data
  • Bayesian Model Correction Method under Multiple Tests Based on Environmental Stimulus Data
  • Bayesian Model Correction Method under Multiple Tests Based on Environmental Stimulus Data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0134] The present invention is based on the basic principle of structural dynamics, and constructs a posteriori probability density function (objective function) through derivation of measured data and structural mode parameters obtained by finite elements. This function includes the modal analysis results of multiple tests and the uncertainty of the identified modal parameters, etc., and can theoretically deduce the relationship between the two modal parameters of the natural frequency and mode shape in the objective function.

[0135] The overall framework of the method is shown in figure 1 As shown, it is divided into two stages. The inventive method is divided into two stages,

[0136] The first stage is to analyze the acceleration data of the structure under environmental excitation collected under multiple tests, obtain the natural frequency and mode shape of the structure measured by each test, and calculate the uncertainty of these modal parameters, using the covaria...

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 purpose of the present invention is to overcome the shortcomings of the traditional method, and provide a Bayesian model correction method based on multiple tests of environmental excitation data, which can realize the direct processing and analysis of multiple test data, and can analyze the results of multiple tests. The modal parameters are input once, and the model correction results are output directly. The technical scheme of the invention can be used to solve the problem of finite element model correction based on actual test data. The present invention is divided into two stages, the first stage is to analyze the structural acceleration data under environmental excitation collected under multiple tests, obtain the natural frequency and mode shape of the structure measured by each test, and calculate the difference of these modal parameters Certainty, represented by a covariance matrix. The second stage is to construct the objective function based on the Bayesian theory based on the structural modal parameters and their covariance matrix obtained from multiple tests. By optimizing the objective function, the optimal model parameters of the finite element model to be corrected are obtained. value.

Description

technical field [0001] The invention relates to a structure finite element model correction technology. Background technique [0002] When doing structural design in the civil engineering field, a finite element model is usually established. After the structure is built based on the design drawings, some natural mode parameters of the structure include natural frequencies, damping ratios, mode shapes, etc. and are calculated based on finite element modeling. There is a clear difference in the results. Model correction technology is to correct the finite element model based on the structural modal parameters identified by the measured data, so as to obtain a more accurate finite element model, which will serve the subsequent structural health monitoring and damage identification. [0003] The existing technology has the following two problems: [0004] The first problem is that in the actual vibration test process, the number of sensors is often less than the number of meas...

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): G06K9/03G06F17/18
CPCG06F17/18G06V10/98
Inventor 张凤亮倪艳春
Owner TONGJI 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