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

Quasi-static bridge influence line identification method based on iteration method

A recognition method and influence line technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of high computational efficiency, high precision, and good recognition results

Inactive Publication Date: 2018-11-20
DALIAN UNIV OF TECH
View PDF7 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the past, most of the bridge damage identification methods were based on the dynamic properties of the bridge. Although this method has had many successful applications, there are still some shortcomings.

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
  • Quasi-static bridge influence line identification method based on iteration method
  • Quasi-static bridge influence line identification method based on iteration method
  • Quasi-static bridge influence line identification method based on iteration method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The present invention will be further described in detail below in conjunction with the accompanying drawings and a numerical example.

[0057] The influence line recognition method of the present invention is divided into "constructing the mathematical model of influence line recognition", "structuring and solving the equation group of Tychonov regularization method equivalent to the influence line recognition equation" and "using the LSQR method to solve the influence line recognition equation "Three steps, the specific implementation method has been given above, and then two calculation examples are used to illustrate the use method and characteristics of the invention.

[0058] Implementation Calculation 1: Numerical Example Full Bridge Test Situation

[0059] In this numerical example, we simulate the bending moment response of a point on a bridge when a loaded train passes a four-span continuous girder, by adding white noise to the response to simulate the real me...

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 belongs to the technical field of structural safety detection and discloses a quasi-static bridge influence line identification method based on an iteration method. The identification method comprises the following steps: (1) building a mathematical model of an influence line; (2) optimizing an influence line identification equation by utilizing a Tikhonov regularization method; and(3) identifying the influence line by adopting an LSQR method. The identification method disclosed by the invention has the advantages that a loading vehicle crossing a bridge at a constant speed andmeasured information of a bridge response caused by the loading vehicle are utilized, the influence line identification equation is solved by utilizing the LSQR method, and influence line identification efficiency can be greatly improved; meanwhile, the identification method has stronger applicability and respectively has good effect when identification is performed under multiple different test conditions, thereby having good potential in subsequent engineering application.

Description

technical field [0001] The invention belongs to the technical field of structural safety detection, and in particular relates to a quasi-static bridge influence line identification method based on an iterative method. Background technique [0002] In the past 30 years, China has built many large-scale engineering structures, and they have been in service for a long time. What is the situation of these structures? This is a burning problem. Long-span bridges are the key projects of many transportation systems, and the service status of long-span bridges has attracted more and more attention. Especially in recent years, with the development of the economy, the traffic volume of the bridge has also been increasing, and real-time understanding of bridge information has become an extremely important research field. The bridge influence line is the response curve of a specific position of the bridge when the unit load passes through the bridge. As a static characteristic of the ...

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
CPCG06F30/20
Inventor 郑旭杨东辉伊廷华李宏男
Owner DALIAN UNIV OF TECH
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