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Data · dataset · 2024

Lightning strike damage images of CFRP laminates Part2

Listed in Teesside University Research Data Repository

This is the second part of the dataset.

Description

For the first part, please see "Lightning strike damage images of CFRP laminates Part1". 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.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65% · Simulation 75%
Provenance · 1 source records, 12 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/r8d69gst88.111 d agoJSON v1
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