A deep learning method for damage prognostics of fiber-reinforced composite laminates using acoustic emission

Title
A deep learning method for damage prognostics of fiber-reinforced composite laminates using acoustic emission
Authors
Keywords
Acoustic emission, Convolutional Neural Network (CNN), Damage prognostics, Residual load-bearing ability, Composite materials
Journal
ENGINEERING FRACTURE MECHANICS
Volume 259, Issue -, Pages 108139
Publisher
Elsevier BV
Online
2021-11-25
DOI
10.1016/j.engfracmech.2021.108139

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started