Developing a heterogeneous ensemble learning framework to evaluate Alkali-silica reaction damage in concrete using acoustic emission signals

Title
Developing a heterogeneous ensemble learning framework to evaluate Alkali-silica reaction damage in concrete using acoustic emission signals
Authors
Keywords
Acoustic emission, Alkali-silica reaction, Ensemble learning, Convolutional neural network
Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 172, Issue -, Pages 108981
Publisher
Elsevier BV
Online
2022-03-03
DOI
10.1016/j.ymssp.2022.108981

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

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