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

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...

AI Technical Summary

Problems solved by technology

Frequency is not sensitive to local damage and hardly reflects local damage

[0005] (2) Traditional electrical sensors have shortcomings such as short lifespan and susceptibility to electromagnetic interference, and need to be replaced frequently during use

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