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Long-span bridge damage recognition method

A damage identification and bridge-crossing technology, which is applied in the direction of measuring devices and instruments, can solve the problems of unrecognizable deep-level parameters of structures and difficult measurement of vehicle load information.

Active Publication Date: 2016-06-15
SOUTHEAST UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Traditional methods have the following disadvantages: 1. Traditional damage identification parameters (such as frequency, damping, etc.) are easily caused by the environment; 2. Traditional damage identification only uses the response information (output) of the structure, while the vehicle load information (input) is difficult to measure , so that the traditional methods cannot recognize the deep parameters of the structure

Method used

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Embodiment

[0069] The Jiangyin Bridge model was established by using the finite element software ANASYS (such as image 3 ), and then the method of the present invention was verified. The main girder of the suspension bridge is divided into 18 areas. The white rectangular frame represents the intact area, and the black rectangular frame represents the damaged area (the damage amount is 10%). The method of reducing the elastic modulus of the main girder is used to simulate the damage. Apply temperature load and vehicle load to the finite element model of Jiangyin Bridge, and select 18 measuring points from 18 regions in turn, then the strain and temperature can be obtained from the 18 measuring points:

[0070] ε m1 ,ε m2 ,...ε mi ...ε m18

[0071] T 1 , T 2 ,... T i ...T 18

[0072] In the formula, i=1~18,ε mi Indicates the strain at measuring point i, T i Indicates the temperature of measuring point i.

[0073] From the measured strain ε using EEMD technique mi The tempera...

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Abstract

The invention discloses a long-span bridge damage recognition method based on temperature stain, and the method comprises the steps: 1), obtaining temperature strain epsilon T caused by a temperature load according to bridge strain epsilon m and temperature T collected by a bridge health monitoring system through employing the technology of EEMD (Ensemble Empirical Mode Decomposition); 2), recognizing the damage of the bridge through the temperature strain epsilon T. The method builds the relation between the temperature (input) and the temperature strain (output), can obtain the structural rigidity, and can build a damage index for judging the damage of a structure. Through the building of the relation between the temperature (input) and the temperature strain (output), the method eliminates the environment factor interference, recognizes the damage position more precisely, is suitable for all bridges, and is especially suitable for the long-time monitoring of a long-span bridge.

Description

technical field [0001] The invention relates to the fields of monitoring data processing and damage identification of long-span bridges in civil engineering and traffic engineering. Background technique [0002] Bridges are an important part of urban lifeline engineering. However, bridges inevitably have defects during the design and construction process. At the same time, they will inevitably suffer from impact loads, environmental corrosion, material aging, and emergencies during service. The health monitoring and safety performance evaluation of bridge structures have become the most popular research hotspots in China. [0003] Damage identification technology is an important analysis method for bridge structural health monitoring and damage early warning. During the development of damage identification, a variety of advanced signal processing methods and mathematical statistics methods are used for structural damage identification, such as wavelet analysis, EEMD, neural...

Claims

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Application Information

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IPC IPC(8): G01D21/02
CPCG01D21/02
Inventor 张建夏琪程玉瑶
Owner SOUTHEAST UNIV
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