Bridge damage identification and assessment method based on long gauge length rigidity coefficient

A technology of stiffness coefficient and damage identification, applied in the testing, measuring devices, instruments, etc. of machine/structural components, can solve the problems of short life of electrical sensors, difficult to reflect local damage, and susceptibility to electromagnetic interference, so as to achieve rapid inspection and Effectiveness of monitoring, effective damage localization, and quantitative analysis of relative damage levels

Active Publication Date: 2016-11-09
SOUTHEAST UNIV
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Problems solved by technology

Frequency is not sensitive to local damage and hardly reflects local damage
[0005] (2) Traditional electrical sensors have short

Method used

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  • Bridge damage identification and assessment method based on long gauge length rigidity coefficient
  • Bridge damage identification and assessment method based on long gauge length rigidity coefficient
  • Bridge damage identification and assessment method based on long gauge length rigidity coefficient

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings.

[0027] A bridge damage identification and evaluation method based on long gauge stiffness coefficient, comprising the following steps:

[0028] (1) Build a distributed long-gauge-length strain sensor monitoring system: arrange several long-gauge-length strain sensors on the monitored bridge;

[0029] (2) Data collection when a single vehicle crosses the bridge: multiple collections of the long-gauge strain time history of a single vehicle passing through the monitored bridge span;

[0030] (3) Calculate the stiffness coefficients of all elements according to the distributed long gauge strain time history and the center coordinates of each sensor;

[0031] (4) The long gauge unit stiffness coefficient of each unit is formed into a matrix to form the long gauge unit stiffness coefficient matrix of the bridge;

[0032] (5) Bridge damage identification and bearing capaci...

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Abstract

The invention discloses a bridge damage identification and assessment method based on a long gauge length rigidity coefficient. The method comprises the following steps of establishing a distributed long gauge length strain sensing monitoring system, wherein a plurality of long gauge length strain sensors are arranged in key areas of a monitored bridge structure; collecting data when a single vehicle crosses a bridge; calculating the rigidity coefficient of each unit based on a distributed long gauge length strain time history and the central coordinates of each sensor; forming the long gauge length unit rigidity coefficient of each unit into a matrix, and forming a long gauge length unit rigidity coefficient matrix of a bridge; performing bridge damage identification and carrying capacity state assessment; and identifying the damage degree using the change condition of long gauge length rigidity coefficients, and improving the reliability of an identification result by repeated sample data analysis. The invention can rapidly detect and monitor a bridge without influencing normal traffic operation, can extract the rigidity distribution condition of a bridge structure, and can provide a reliable basis for bridge management and maintenance.

Description

technical field [0001] The invention relates to the technical field of structure and sensor monitoring, in particular to a bridge damage identification and evaluation method based on long gauge stiffness coefficients. Background technique [0002] Expressway bridges are the key structures in the high-speed traffic system, which may encounter man-made and natural disasters while bearing live loads. Sudden collapse of bridges can lead to great loss of life and property, therefore, in order to maintain public safety, it is necessary to properly monitor and inspect highway bridges. Therefore, the research on bridge damage identification methods has attracted a large number of researchers. Structural damage identification is the core of structural health monitoring system. Structural damage identification is to detect and evaluate the structure to determine whether there is damage to the structure, and then to judge the location and degree of damage, as well as the current stat...

Claims

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Application Information

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IPC IPC(8): G01M99/00
CPCG01M99/00
Inventor 吴刚吴必涛杨才千何一
Owner SOUTHEAST UNIV
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