A Fatigue Damage Diagnosis Method for Carbon Fiber Reinforced Matrix Composite Structures

Abstract

The invention belongs to the technical field related to fatigue damage detection of composite material structures, and discloses a method for diagnosing fatigue damage of carbon fiber reinforced matrix composite material structures. The material sample emits the guided wave and collects the guided wave signal; (2) determines the damage index of the guided wave signal based on the guided wave in a healthy state, and then automatically labels the guided wave signal based on the damage index; (3) uses The continuous wavelet transform method processes the guided wave signal to obtain the CWT map, and constructs a convolutional neural network model, and then trains the convolutional neural network model to obtain a fatigue damage diagnosis model; (4) compound the carbon fiber reinforced matrix to be tested The CWT diagram corresponding to the guided wave propagating in the material structure is input into the fatigue damage diagnosis model for fatigue damage diagnosis. The invention improves precision and applicability, and has good flexibility.

Description

technical field [0001] The invention belongs to the related technical field of fatigue damage detection of composite material structure, and more specifically relates to a fatigue damage diagnosis method of carbon fiber composite material structure. Background technique [0002] Carbon fiber reinforced matrix (CFRP) composites are widely used in aerospace, automotive and other manufacturing fields due to their superior comprehensive properties. Due to the complex internal structure and anisotropic properties of carbon fiber reinforced matrix composites, the fatigue of carbon fiber reinforced matrix composites The damage law has not been clear yet, which limits the wide-scale application of carbon fiber reinforced matrix composites. Therefore, the development of reliable, general and accurate diagnostic techniques can effectively diagnose the reliability risks of carbon fiber reinforced matrix composite structures due to fatigue damage, and promote the engineering application...

AI Technical Summary

Problems solved by technology

However, there are many limitations in Lamb wave technology, such as multiple defects will cause signal superposition effect, severe defects will cause rapid signal attenuation, and the structure's outer cladding will easily cause the attenuation of echo signals, etc. These factors will lead to interference in the guided wave signal The increase of components, which in turn leads to lower detection accuracy

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