Study on Prediction of Compression Performance of Composite Laminates After Impact Based on Convolutional Neural Networks
Abstract
This paper proposed a method for predicting composite laminates’ compressive residual strength after impact based on convolutional neural networks. Laminates made by M21E/IMA prepreg were used to introduce low-velocity impact damage and construct a non-destructive testing image dataset. The dataset images characterized the impact damage details, including dents, delamination, and matrix cracking. The convolution kernel automatically extracted...
Paper Details
Title
Study on Prediction of Compression Performance of Composite Laminates After Impact Based on Convolutional Neural Networks
Published Date
May 12, 2021
Journal
Volume
28
Issue
4
Pages
1153 - 1173
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