Damage mechanism identification in composites via machine learning and acoustic emission
Abstract Damage mechanism identification has scientific and practical ramifications for the structural health monitoring, design, and application of composite systems. Recent advances in machine learning uncover pathways to identify the waveform-damage mechanism relationship in higher-dimensional sp...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-06-01
|
| Series: | npj Computational Materials |
| Online Access: | https://doi.org/10.1038/s41524-021-00565-x |