Aircraft thin-wall structure simulation detection system and detection method thereof

Abstract

The invention relates to the field of modern aircraft large-size structure damage detection, in particular to an aircraft thin-wall structure simulation detection method and system. Detection is carried out based on Lamb waves, and the system comprises a plurality of spliced thin-wall structures and array sensors arranged on the thin-wall structures. The array sensor comprises N sensors arranged in the form of a phased array and is used for generating an excitation signal and receiving a response signal of a target; the detection device is used for determining whether damage exists on the thin-wall structure or not based on the relation between the response signal and the excitation signal; the plurality of thin-wall structures are connected in a gluing manner; according to the embodiment of the invention, the existing sparse representation is fused with the elliptical imaging algorithm, the relation between the damage scattering signal and the damage position is established by acquiring the sparse characteristic of the monitoring signal and the accurate judgment of the elliptical imaging algorithm for the damage position, the qualitative judgment and quantitative judgment of the damage position are realized, and the accuracy of the damage position is improved. And the result is more accurate and specific.

Description

technical field [0001] The invention relates to the field of damage detection of large-scale structures of modern aircraft, in particular to a simulation detection system for thin-walled structures of aircraft and a detection method thereof. Background technique [0002] Affected by dynamic / static loads, working conditions, material properties and external factors, the structure of modern aircraft often has a trend of performance degradation and more serious structural damage, which will affect its normal operation, and may further lead to potential safety hazards, or even is a catastrophic accident. In addition, in the design and manufacture stage of aircraft, because it is difficult to accurately predict the distribution of factors affecting the structural life in service, even the most perfect design is difficult to avoid the risks brought by changes in service conditions. With the increasingly prominent requirements for the safe, reliable and economical operation of mod...

AI Technical Summary

Problems solved by technology

However, the traditional OMP algorithm can only achieve small damage imaging, the main reason is that for a few pixels in a small area, due to the relatively small distance, the propagation time difference of the Lamb wave is almost equal to 0, resulting in In order to achieve the sparse representation of the signal by finding the best matching atom when the OMP algorithm is used, only one pixel can be obtained in the corresponding area as the main damaged pixel. point, ignoring other possible damaged pixels

Therefore, through the traditional OMP algorithm, the pixel points must be equal to the size of the damage in order to better realize damage localization imaging, which results in low imaging accuracy; and when the pixel points are small, it is difficult to realize the detection of existing damage in the structure. Lesion Imaging in Larger Lesions

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