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Multi-zone damage detection method based on Lamb wave signal correlation coefficient

A damage detection and signal-related technology, applied in the direction of using sonic/ultrasonic/infrasonic waves to analyze solids, etc., can solve the problems of identification failure and high signal quality requirements, and achieve the effect of reducing human error, enhancing damage identification effect, and reducing requirements.

Inactive Publication Date: 2015-10-07
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

Time-frequency analysis needs to use complex signal processing methods, such as wavelet transform, and has high requirements on the quality of the signal, so as to prevent the scattered signal from being submerged in the environmental noise and cause the recognition failure
On the other hand, this method can only identify a single injury, and there are still shortcomings in the identification of multiple injuries.

Method used

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  • Multi-zone damage detection method based on Lamb wave signal correlation coefficient
  • Multi-zone damage detection method based on Lamb wave signal correlation coefficient
  • Multi-zone damage detection method based on Lamb wave signal correlation coefficient

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Embodiment Construction

[0030] Below in conjunction with embodiment the present invention will be further described.

[0031] A multi-area damage detection method based on Lamb wave signal correlation coefficient, comprising the steps of:

[0032](1) In this embodiment, the piezoelectric sensor used has a diameter of 10mm and a thickness of 2mm, and the plate structure is a metal aluminum plate of 1000mm×1000mm×5mm. The center of the plate structure is the coordinate origin, and the right direction is the positive direction of the X axis. Up is the positive direction of the Y axis. With the coordinate origin (0,0) as the center of the circle, paste the first piezoelectric sensor, numbered 1, and arrange a total of 9 piezoelectric sensors (numbered 1 to 9) on the flat structure. The horizontal and vertical distances between the piezoelectric sensors is 150mm, forming a 3×3 square array, and the piezoelectric sensor array is arranged as figure 1 (The white film in the figure is the damage simulated b...

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Abstract

The present invention discloses a multi-zone damage detection method based on Lamb wave signal correlation coefficients, by arranging of a sensor array in the structure, a monitoring area is divided into two basic monitoring units, and the basic monitoring units are identified by the method based on signal correlation coefficients for further monitoring area damage imaging. The damage signal arrival time can be extracted only by knowing of a rough Lamb wave propagation velocity in the structure without use of complex signal processing method and noise removal technique, the quality requirement of the signal is low, and environmental requirement of the structure is reduced.

Description

technical field [0001] The invention relates to a multi-area damage detection method based on a Lamb wave signal correlation coefficient, which belongs to the structural health monitoring technology. Background technique [0002] With the rapid development of science and technology, the service time of aircraft is gradually extended, and non-destructive testing technology cannot meet the requirements of real-time and continuous monitoring of structures. Structural health monitoring technology excites Lamb waves through the sensors arranged on the structure, receives the signal of Lamb wave propagating in the structure, analyzes and processes the received signal, and obtains the health status of the structure. This technology does not need to disassemble the structure, and can monitor the health status of the structure in real time, so the structural health monitoring technology has received great attention. At present, the active health monitoring technology based on Lamb w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N29/07
Inventor 周丽欧阳青华刘晓同
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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