Lamb wave damage probability imaging method for damage monitoring of composite plate structure

Abstract

The invention discloses a Lamb wave damage probability imaging method for damage monitoring of a composite plate structure, which belongs to the field of monitoring of engineering structure health of composite plates. According to the invention, the technology of excitation / sensing arrays is utilized; reference signals of the composite plate structure in a sound state and monitoring signals of the composite plate structure in a damage state are acquired by loading Lamb wave; then the means of wavelet analysis is employed to extract an energy difference coefficient of damage, and the position where damage is located is predicated; finally, a structure damage image is obtained by using the probability imaging method. The invention enables rapid and effective damage identification of the composite plate structure to be realized and high precision in damage identification to be obtained, and has a good engineering application value.

Description

technical field [0001] The invention relates to a probability imaging method, in particular to a Lamb wave damage probability imaging method for damage monitoring of composite material plate structures, belonging to the field of health monitoring of composite material plate engineering structures. Background technique [0002] Advanced composite materials have been widely used in the aerospace field, but composite structures will inevitably be damaged during production and use. In order to be able to detect these possible damages in a timely manner, determine the location of the damage, and determine the extent of the damage, structural health monitoring technology, as an online, real-time, and rapid damage detection method, has become a major focus of current attention. Among them, Structural health monitoring methods based on Lamb waves have attracted increasing attention because they can quickly and accurately monitor large-area structures such as aircraft wings. [0003...

AI Technical Summary

Problems solved by technology

These methods generally have relatively high requirements on signal quality, and they all need to subtract the signals before and after the damage to obtain the damaged scattering signal, and then use a variety of signal processing methods to obtain the damaged image, and the image accuracy and clarity are not high.

At the same time, these imaging algorithms often require too much time for signal analysis and damage identification due to the large amount of calculation, which is difficult to meet the online and fast requirements of the structural health monitoring system.

Therefore, it is difficult to obtain damage imaging images using conventional equipment and methods in active Lamb wave structural health monitoring technology.

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