Check patentability & draft patents in minutes with Patsnap Eureka AI!

Large-span bridge sling force identification method based on high-density measuring point strain

An identification method and a large-span technology, which is applied in the field of long-span bridge suspension cable force identification, can solve the problem of small scale of measuring points, and achieve the effects of effective utilization, automatic construction, and excellent performance

Active Publication Date: 2022-07-12
HARBIN INST OF TECH +2
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, limited by the cost and installation conditions of sensors, most long-span bridge structural health monitoring systems have small measuring points, especially for the suspension structure of long-span bridges. Current bridge structural health monitoring systems often only Monitoring partial sling force

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
  • Large-span bridge sling force identification method based on high-density measuring point strain
  • Large-span bridge sling force identification method based on high-density measuring point strain
  • Large-span bridge sling force identification method based on high-density measuring point strain

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0016] Specific implementation one: as figure 1 As shown, this embodiment discloses a method for identifying the cable force of a large-span bridge sling based on high-density measuring point strain, and the method includes the following steps:

[0017] Step 1: Relying on the finite element model of the bridge structure to obtain the data of the structural strain of the main girder and the force of the sling cable, use the denoising autoencoder to extract the structural strain characteristics of the main girder, and use the one-dimensional deep convolutional neural network to obtain the structural strain characteristics of the main girder and the sling cable. The correlation relationship between the main beam structure of large-span bridge and the correlation model of sling cable force can be realized;

[0018] Step 2: Use the distributed sensing fiber to obtain the strain monitoring data of the high-density measuring points of the main girder structure, and based on the main ...

specific Embodiment approach 2

[0020] Specific embodiment 2: This embodiment is a further description of the specific embodiment 1. The construction method of the large-span bridge main girder structural strain-sling cable force correlation model described in step 1 is:

[0021] Step 11: Establish a finite element model of the long-span bridge structure, apply the vehicle load and temperature load obtained by traffic flow and temperature statistics, and obtain the strain of each node of the main beam structure of the model at multiple times, as shown in the following formula:

[0022]

[0023] In the formula, is the strain value of the jth node of the main beam structure at the ith moment in the finite element model; is the strain vector of the main beam structure at the ith moment in the finite element model; N is the total number of nodes of the main beam structure in the finite element model.

[0024] Step 1 and 2: Extract the features of the structural strain of the main beam by using the encoding...

specific Embodiment approach 3

[0032] Embodiment 3: This embodiment is a further description of Embodiment 2. The method for estimating all the actual sling cable forces of the large-span bridge described in step 2 is:

[0033] Step 21: Use the distributed sensing fiber to obtain the strain monitoring data of the high-density measuring points of the main beam structure, as shown in the following formula:

[0034]

[0035] In the formula, is the actual strain monitoring value of the jth measuring point of the main beam structure at the ith moment; is the measured strain vector of the main beam structure at the ith moment.

[0036] Step 22: Use the main girder structural strain-sling cable force correlation model established in step 1 to estimate all the actual sling cable forces of the bridge, as shown in the following formula:

[0037]

[0038] In the formula, is the estimated value vector of the actual sling cable force of the bridge at the ith moment; is the estimated value of the actual cab...

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 large-span bridge sling force identification method based on high-density measuring point strain, and belongs to the field of civil engineering structure operation safety intelligent monitoring. A denoising auto-encoder and a one-dimensional deep convolutional neural network are combined and applied, and a large-span bridge girder structure strain-sling force correlation model is constructed on the basis of the bridge structure finite element model; on the basis, acquiring strain monitoring data of high-density measuring points of a main beam structure by using distributed sensing optical fibers, and estimating all actual sling forces of a large-span bridge; and correcting estimated values of the cable forces of all the slings of the large-span bridge by using monitoring data acquired by a cable force sensor of part of the slings of the large-span bridge and based on a B-spline interpolation method so as to realize identification of the cable forces of all the slings of the large-span bridge. According to the method, the cable force identification of all the slings of the large-span bridge can be realized by using distributed strain and partial sling cable force measuring points.

Description

technical field [0001] The invention belongs to the field of intelligent monitoring of civil engineering structure operation safety, in particular to a method for identifying the cable force of a large-span bridge suspension cable based on high-density measuring point strain. Background technique [0002] In recent years, with the maturity of bridge health monitoring technology, bridge structure health monitoring system has become a powerful tool to ensure the safety of bridge structure operation. Many long-span bridges have already installed bridge structure health monitoring system. However, limited by the cost and installation of sensors, most large-span bridge structural health monitoring systems have small measuring points, especially for the sling structures of long-span bridges, the current bridge structural health monitoring systems often only Monitor part of the sling tension. In response to this problem, the present invention proposes a method for identifying 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
IPC IPC(8): G06F30/23G06F30/27G06F30/13G06N3/04G06N3/08G06F16/215G01M5/00G06F119/14
CPCG06F30/23G06F30/27G06F30/13G06N3/08G06F16/215G01M5/0008G01M5/005G06F2119/14G06N3/045Y02T90/00
Inventor 刘洋闫啸坤常亮李元涛程为韩令奇
Owner HARBIN INST OF TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More