Bridge deck slab damage identification method based on dynamic fingerprints

Abstract

The invention provides a bridge deck slab damage identification method based on dynamic fingerprints, and the method is characterized in that the method comprises the following steps: obtaining a displacement vibration mode of a bridge deck slab; carrying out fractal analysis on the displacement vibration mode; the method can be used for detecting various point damages, such as pits, corrosion, holes and the like, of the bridge deck slab, can detect whether the damages occur or not, and can accurately position the positions of the damages. Displacement data collected by the displacement sensoris used as original data of damage identification, a healthy displacement vibration mode is prevented from being used as a reference, meanwhile, a smooth data anti-noise function is achieved, the capacity of identifying damage of various sizes in a noise environment is achieved, and the bridge deck damage detection method is particularly suitable for damage detection of a bridge deck in an engineering field environment.

Description

technical field [0001] The invention relates to the field of damage detection, in particular to a method for identifying damage to bridge decks based on dynamic fingerprints. Background technique: [0002] The bridge deck is a local component that directly participates in bearing the wheel load, and is most prone to fatigue damage under the repeated action of long-term vehicle moving loads. At the same time, antifreeze and snow melting agents in winter will also cause corrosion and other damage to the roof of the bridge deck. The occurrence and development of the above-mentioned damages will endanger the reliability of the bridge. Accurately identifying whether the bridge deck is damaged is of great significance to the safe operation of the entire bridge structure. Compared with traditional damage identification methods such as electromagnetic method, ultrasonic method, γ-ray method, etc., the biggest advantage of the bridge deck damage identification method based on dynami...

AI Technical Summary

Problems solved by technology

In engineering practice, most of the dynamic fingerprints collected by dynamic sensors are displacement signals. The traditional analysis methods for damage identification using the corresponding displacement mode shapes, such as mode shape difference method and mode shape derivative method, have the following limitations: First, it is necessary to know the health status in advance. The displacement mode shape of the bridge deck; the second is that the mode derivative is very sensitive to measurement noise

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