Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Method for recognizing moving vehicle load on bridge based on generalized minimal residual algorithm

A vehicle load and recognition method technology, applied in the field of bridge deck moving load recognition, can solve problems such as threatening driving safety and destroying road traffic infrastructure

Active Publication Date: 2015-05-13
NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER
View PDF4 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The State Council and the Ministry of Communications have successively promulgated the relevant regulations and regulations on the management of highways and over-limit transportation in my country. However, in order to seek greater profits, some transportation companies violated the national regulations on the rated size and load of vehicles to carry out over-limit and overload transportation, causing serious damage. damage roads and other transportation infrastructure, and threaten driving safety

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
  • Method for recognizing moving vehicle load on bridge based on generalized minimal residual algorithm
  • Method for recognizing moving vehicle load on bridge based on generalized minimal residual algorithm
  • Method for recognizing moving vehicle load on bridge based on generalized minimal residual algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0069] The technical solution of the present invention is described in detail below by way of the examples, but the examples are only preferred implementation modes of the present invention, and it should be pointed out that for those of ordinary skill in the art, without departing from the principles of the present invention, , several improvements and equivalent replacements can also be made, and these technical solutions after the improvements and equivalent replacements to the claims of the present invention all fall within the protection scope of the present invention.

[0070] The invention is based on a simplified physical model of the bridge structure, utilizes the actually measured bridge acceleration response, and adopts a generalized minimum residual error method to identify the moving vehicle load on the bridge deck. Such as figure 1 As shown, the method specifically includes the following steps:

[0071] (1) Arrange photoelectric sensors, strain gauges and acce...

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 method for recognizing a moving vehicle load on a bridge based on the generalized minimal residual algorithm. The method comprises the steps of 1, arranging photoelectric sensors, strain gauges and accelerometers at predetermined measuring point positions on a bridge floor; 2, establishing a simplified physical mechanical model of the bridge; 3, solving the term q[n](t) by means of convolution integral in a time domain to obtain a system function Af=b, wherein A represents a known system matrix, b represents a known bridge floor response, and f represents the desired moving vehicle load; 4, assigning an initial value f[0] to the desired moving vehicle load f to obtain an initial residue r[0]=b-Af[0]; 5, obtaining the moving load by means of the generalized minimal residual algorithm. According to the method, recognition precision is much higher than that of an ordinary moving load recognizing method, and the method is especially suitable for high-precision moving load recognition.

Description

technical field [0001] The invention relates to the technical field of bridge deck moving load identification, in particular to a dynamic identification method for bridge deck moving vehicle loads based on a generalized minimum residual method. Background technique [0002] At present, the vehicle load is the most influential live load of the bridge in service. The dynamic vehicle load will cause additional stress on the road surface and the bridge, cause the cumulative damage and fatigue damage of the bridge, and even induce the vicious accident of the bridge structure. With the development of lighter bridges, heavier vehicle loads, and higher vehicle speeds, the accurate identification of moving loads has attracted more and more attention from bridge engineering researchers. At present, the deployment of sensors can record the dynamic response of the bridge under the excitation load of the vehicle, and based on the dynamic response of the bridge, it can identify the moving...

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): G06F19/00
Inventor 陈震陈爱玖杨亚彬刘世明汪志昊陈记豪陈贡联
Owner NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products