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A Damage Probability Imaging Method Based on Guided Waves

An imaging method and a probabilistic technology, applied in the processing of detection response signals, the use of sound waves/ultrasonic waves/infrasonic waves to analyze solids, and the use of sound waves/ultrasonic waves/infrasonic waves for material analysis, etc., can solve problems such as limited applications, and the method is simple and easy to implement , High accuracy of damage location and clear image

Active Publication Date: 2020-09-18
CHINA AIRPLANT STRENGTH RES INST
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Problems solved by technology

The above limits the application of this method in actual monitoring

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  • A Damage Probability Imaging Method Based on Guided Waves
  • A Damage Probability Imaging Method Based on Guided Waves
  • A Damage Probability Imaging Method Based on Guided Waves

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Embodiment Construction

[0039] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0040] refer to figure 1 , the existing guided wave-based structural damage monitoring is basically composed of a waveform generator 1, a power amplifier 2, a piezoelectric array 3, a structure to be tested 4, a charge amplifier 5, and a data acquisition and processing system 6. The waveform generator 1 is connected with the power amplifier 2 through a wire; the power amplifier 2 is connected with the exciter in the monitoring path formed by the piezoelectric sheet array 3 through a wire; the sensor in the monitoring path is connected with the charge amplifier 5 through a wire; the charge amplifier 5 is connected through the The wire is connected with the data acquisition and processing system. During the monitoring process, the system generates guided waves in the structure to be tested 4, and collects guided waves propagating in the monit...

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Abstract

The invention discloses a guided-wave-based probability imaging method for damages, belonging to the technical field of structure health monitoring. The method comprises the following steps: (1) arranging piezoelectric patches on a to-be-detected structure to form N piezoelectric monitoring paths; (2) acquiring the reference signal of each monitoring path; (3) acquiring the current signal of eachmonitoring path; (4) calculating the damage index of each monitoring path; and (5) establishing a coordinate system for a monitored area, dividing imaging grids, and calculating the damage probabilityimaging value of each imaging grid, wherein the larger the damage probability imaging value, the greater the probability of damage. The probability imaging method provided by the invention has the following advantages: images obtained after damage imaging are clear; the positioning accuracy of damages is high; multiple damages can be imaged and recognized at the same time; and the method is simple and practicable, and can be applied to structure health monitoring of complex structures.

Description

technical field [0001] The invention belongs to the technical field of structural health monitoring, and relates to a damage probability imaging method based on guided waves. Background technique [0002] In recent years, the structural health monitoring technology based on guided waves has received extensive attention and has become a research hotspot. This is due to the fact that guided waves are able to travel long distances in structures and are sensitive to damage such as cracks, corrosion, and delamination. In guided wave-based structural health monitoring, damage imaging algorithms have attracted attention and been extensively studied because they can identify and locate damage intuitively using images. Among them, the damage probability imaging method based on ellipse distribution probability has received a lot of research because it can use sparse sensor networks to generate better quality damage images and is suitable for complex structures. In this method, for e...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N29/06G01N29/44
CPCG01N29/0654G01N29/44
Inventor 刘国强肖迎春张华李明张杰白生宝黄博韩晖
Owner CHINA AIRPLANT STRENGTH RES INST
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