Damage identification method of flexible material based on acoustic emission technology

Abstract

The invention relates to a damage identification method for a flexible material based on an acoustic emission technology. The method comprises the following steps: acquiring an acoustic emission signal of a to-be-detected flexible composite material; acquiring damage feature information of the acoustic emission signal, extracting feature parameters of the acoustic emission signal, and constructing feature vectors in different damage states; establishing a sample data set, randomly dividing a training set and a test set, and carrying out data normalization processing; and inputting randomly divided training set sample data into the optimized extreme learning machine to obtain classification output results of different damage states. Damage feature information of an acoustic emission signal is obtained in three levels of a time domain, a frequency domain and a transform domain, feature parameters of the damage signal are extracted through principal component analysis dimension reduction processing, a damage feature vector is determined, the acoustic emission technology is combined with an extreme learning machine algorithm based on particle swarm optimization, and the damage feature vector is determined. And the hidden layer nodes of the extreme learning machine are optimized, so that effective and accurate damage identification of the flexible material can be realized.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing, and in particular relates to a damage identification method for flexible substrates based on acoustic emission technology. Background technique [0002] Flexible substrates are widely used due to their excellent performance characteristics. However, due to the complexity of the manufacturing process of flexible substrates, it is difficult to achieve precise control, resulting in unstable material quality and a certain degree of randomness, more or less There are internal defects, such as pores, inclusions, cracks, looseness, poor bonding between fibers and the matrix interface, wear, etc. The generation and accumulation of tiny damage inside the base material and the expansion of cracks will aggravate the sharp loss of material strength and stiffness, greatly reduce the service life of the structure, and sometimes cause catastrophic consequences. Moreover, since flexible substrat...

AI Technical Summary

Problems solved by technology

[0002] Flexible substrates are widely used due to their excellent performance characteristics. However, due to the complexity of the manufacturing process of flexible substrates, it is difficult to achieve precise control, resulting in unstable material quality and a certain degree of randomness, more or less There are internal defects, such as pores, inclusions, cracks, porosity, poor bonding between fibers and the matrix interface, wear, etc.

The generation and accumulation of tiny damage inside the base material and the expansion of cracks will aggravate the sharp loss of material strength and stiffness, greatly reducing the service life of the structure, and sometimes may cause catastrophic consequences

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