Lightning strike damage images of CFRP laminates Part1
Description
Due to the complex and uncertain physics of lightning strike on carbon fiber-reinforced polymer (CFRP) laminates, conventional numerical simulation methods for assessing the residual strength of lightning-damaged CFRP laminates are highly time-consuming and far from pretty. To overcome these challenges, this study proposes a new prediction method for residual strength of CFRP laminates based on machine learning. A diverse dataset is gained and augmented from photographs of lightning strike damage areas, C-scan images, mechanical performance data, layup details, and lightning current parameters.
Files
Steps to reproduce
Please decompress each file separately. The JPEGimages folder is too large, hence it is compressed into two parts. Decompress part1 and part2 first, merge them into the JPEGimages folder, and then proceed with the training.