Bridge local damage identification method based on influence line under structure health monitoring system

A technology of health monitoring system and damage identification, which is applied to the testing of machines/structural components, measuring devices, instruments, etc.

Inactive Publication Date: 2016-09-28
XIAMEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the above three key issues, no literature has conducted in-depth discussions on bridge influence lines and proposed effective solutions

Method used

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  • Bridge local damage identification method based on influence line under structure health monitoring system
  • Bridge local damage identification method based on influence line under structure health monitoring system
  • Bridge local damage identification method based on influence line under structure health monitoring system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0136] Example 1: Validation of Influence Line Identification Method Based on Hong Kong Tsing Ma Bridge Monitoring System

[0137] The Tsing Ma Bridge in Hong Kong is currently the longest road-rail suspension bridge in the world, with a total length of 2160m and a main span of 1377m. The Hong Kong Highways Department installed a wind and structural health monitoring system on the Tsing Ma Bridge. Among the 300 sensors in the sensor system, 110 dynamic strain gauges are installed on 4 typical sections for long-term monitoring of the stress state of main components on key sections. A set of strain gauges installed on the track beam of cross-section L, the strain data can be converted into the record information of the train after processing, including the axle load of the train, the distance between the axles, and the running speed, etc. At the same time, the dynamic weighing system near the bridge also records the information of the cars driving on the bridge, and the anemome...

Embodiment 2

[0141] Example 2: Verification of the influence line damage index based on the finite element model of Hong Kong Tsing Ma Bridge

[0142] To verify the influence line damage index, the influence line information of the bridge in the non-destructive reference state and the damaged state is needed. The verification work takes the Tsing Ma Bridge in Hong Kong as the research object. Up to now, there have been no reports of obvious damage on the Tsing Ma Bridge, so it is impossible to verify the effectiveness of the damage identification method with bridge actual measurement data, so the verification work is based on the bridge. The finite element model was developed.

[0143] In order to analyze the stress of bridge local components more accurately, a fine bridge finite element model (such as Figure 5 shown). The finite element model has a total of 12898 nodes and 21946 elements, including 2906 plate elements and 19040 beam elements. The model considers the geometric nonlinear...

Embodiment 3

[0150] Example 3: Based on the finite element model of Tsing Ma Bridge in Hong Kong, the damage identification method of fusing multi-sensor information is verified

[0151]In order to verify the feasibility of the damage identification method based on fusion of multi-sensor information, Tsing Ma Bridge was selected as a case study. The finite element model of Tsing Ma Bridge is used to simulate the damage, and the same two damage conditions as in Example 2 are adopted, namely:

[0152] Working condition 1: Choose to reduce the cross-sectional area of ​​the oblique bar on the north side of the bridge at x=1692m towards the north bridge to 1% of the initial value.

[0153] Working condition 2: It is assumed that the two inclined bar units located at x=1692m and x=1669.5m in the direction of the north bridge are seriously damaged. Their cross-sectional areas are all reduced to 1% of the initial value. These two rods are located on the north side of the bridge, and the longitudi...

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Abstract

A bridge local damage identification method based on an influence line under a structure health monitoring system relates to the field of engineering structure health monitoring. The method comprises the following steps: (1) fast identification of a bridge influence line; (2) construction of influence line damage indexes; and (3) damage identification based on fusion of multi-sensor information. A bridge influence line is identified based on moving vehicles and bridge response monitored in real time by a bridge health monitoring system, the change of the influence line can be captured in a timelier and quicker way, and structure abnormality can be found early. Based on the fact that the damage indexes of the influence line are more sensitive to local damage of long-span bridges and less sensitive to the change in environmental factors, the method is more applicable to detection of local damage of long-span bridges in an operating environment. By combining the multi-sensor information fusion theory and the influence line damage indexes, the anti-noise-interference and damage locating abilities of the damage identification method are improved greatly, and the credibility of damage decision is improved.

Description

technical field [0001] The invention relates to the field of engineering structure health monitoring, in particular to a bridge local damage identification method based on influence lines under a structure health monitoring system. Background technique [0002] In the past few decades, many long-span bridges have been built in China. Considering severe natural disasters such as typhoons and earthquakes, as well as the impact of harsh environments such as drastic temperature changes and environmental corrosion, the bridge structure begins to deteriorate as soon as it is built, and the damage continues to accumulate throughout the service period. In recent years, there have been many bridge collapse accidents in China. In fact, before such accidents occur, most of the local components of the bridge will be damaged or even completely failed. However, the damage of local components is generally limited to the vicinity of the damaged components in the early stage, and it is qui...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M99/00
CPCG01M99/00
Inventor 陈志为蔡亲霖
Owner XIAMEN UNIV
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