Abstract
The aim of the study is to detect, localise, and attempt to classify damage mechanisms in a carbon fibre/epoxy composite tube from an early stage of loading until final failure. Parametric analysis is completed on acoustic emission (AE) datato attempt damage classification, while experimental wave velocities are used to estimate damage locations. This is complemented by damage index calculations based on the amplitude reduction observed in guided wave signals. The application of an unsupervised clustering algorithm enables observation of the evolution of damage, as separated into groups. When overlaid with the cumulated energy obtained from AE signals, these "damage profiles" for each cluster of data can be linked more closely to the known damage processes.
| Original language | English |
|---|---|
| Title of host publication | Structural Health Monitoring 2019 |
| Subtitle of host publication | Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring |
| Editors | Fu-Kuo Chang, Alfredo Guemes, Fotis Kopsaftopoulos |
| Publisher | DEStech Publications, Inc |
| Pages | 1430-1436 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781605956015 |
| Publication status | Published - 2019 |
| Externally published | Yes |
| Event | International Workshop on Structural Health Monitoring (IWSHM) 2019 - Stanford, United States of America Duration: 10 Sept 2019 → 12 Sept 2019 Conference number: 12th http://web.stanford.edu/group/sacl/workshop/IWSHM2019/keynote.html https://web.stanford.edu/group/sacl/workshop/IWSHM2019/proceeding.html |
Workshop
| Workshop | International Workshop on Structural Health Monitoring (IWSHM) 2019 |
|---|---|
| Abbreviated title | IWSHM 2019 |
| Country/Territory | United States of America |
| City | Stanford |
| Period | 10/09/19 → 12/09/19 |
| Internet address |