Quantitative identification method and system for composite material damage under strong noise background

Abstract

The invention provides a damage quantitative identification method and system of composite materials under a strong noise background. The different degrees of damage are simulated on the composite materials, different positions are changed, and Lamb wave response signals of the different degrees and positions are collected; a strong noise signal with the certain signal-to-noise ratio is added intothe collected Lamb wave signals to simulate the collected Lamb wave signals under the strong noise background; the strong noise signal is eliminated, and an effective signal is obtained; the effective signal is divided into two parts, wherein one part is used as training data, one part is used as test data, and the effective signal is subjected to Fourier transform to obtain spectrum data corresponding to the different degrees and positions of damage to realize damage feature extraction; and the training data are input into an automatic encoder for training, an automatic encoder damage recognition model is obtained, the test data are input into a damage identification model after training, and according to model output, damage positioning and quantitative identification information is obtained. Reliable location and accurate quantitative identification of the composite material structure under the strong noise environment are realized.

Description

technical field [0001] The disclosure belongs to the field of material damage information analysis, and relates to a method and system for quantitatively identifying composite material damage under a background of strong noise. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Carbon Fiber Reinforced Plastics (CFRP) plays an important role in the aerospace industry due to its light weight, high strength, and strong designability. For example, the CR929 aircraft has a carbon fiber composite content of up to 50%. However, during the manufacturing process or in-service application, carbon fiber composite structures are vulnerable to invisible damage caused by external impact and stress concentration, and even serious accidents. Therefore, in order to ensure the safety of carbon fiber composite structures, a damage localization and quantifica...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above problems, the present disclosure proposes a composite material damage quantitative identification method and system under a strong noise background. Plate damage location detection and quantitative identification overcomes the traditional damage location method that cannot reliably determine the damage location of composite materials based on the Lamb wave velocity in a strong noise environment, and cannot accurately and quantitatively identify damage defects relying on signal features

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