Carbon fiber composite material fatigue damage probability imaging method based on ToF damage factor

Abstract

The invention relates to a carbon fiber composite material fatigue damage probability imaging method based on a ToF damage factor, and belongs to the technical field of engineering structure health monitoring. The method comprises the steps of firstly, uniformly dividing a monitored area in a piezoelectric sensor network into N small grids, and taking each small grid as a pixel point; then calculating a ToF damage factor of each excitation-sensing channel; secondly, calculating the damage existence probability of each pixel point in each excitation-sensing channel according to the ToF damage factor; and finally, superposing the damage probability of each pixel point in each excitation-sensing channel, mapping the damage existence probability of each pixel point into a pixel value and imaging, and taking the position with high damage probability in an imaging image as the possible damage existence position. Compared with a traditional damage probability imaging method, damage can be accurately recognized and positioned, the visualization effect of damage imaging can be effectively improved, and the approximate shape and size of the damage can be obtained.

Description

technical field [0001] The invention relates to a fatigue damage probability imaging method of a carbon fiber composite material based on a ToF damage factor, and belongs to the technical field of engineering structure health monitoring. Background technique [0002] Compared with metal materials, carbon fiber composite materials are widely used in the aerospace field because of their advantages such as high specific stiffness, high specific strength, high temperature resistance, corrosion resistance, fatigue resistance, and light weight. However, composite materials will continue to produce various defects and damages during material processing, component manufacturing and service, among which fatigue damage is a common and typical type of damage. Fatigue damage is caused by continuous load cycles that cause tiny damage inside the material at the initial stage. With repeated loads, the internal damage gradually expands until it breaks. However, the formation process of inte...

AI Technical Summary

Problems solved by technology

Although the existing damage probability imaging method can effectively identify damage, its visualization effect and damage location accuracy are poor, the imaging resolution is not high, and there is a common situation that the damage probability is high for the position without damage.

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