Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms
In the last four decades, bonded composite repair has proven to be an effective method for addressing crack damage propagation. On the other hand, machine learning (ML) has made it possible to employ a variety of approaches for mechanical and aerospace problems and such significant approach is the...
Saved in:
| Main Authors: | Abdul Aabid Shaikh, Md Abdul Raheman, Meftah Hrairi, Muneer Baig |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Gruppo Italiano Frattura
2024-03-01
|
| Series: | Fracture and Structural Integrity |
| Subjects: | |
| Online Access: | https://www.fracturae.com/index.php/fis/article/view/4838 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms
by: Abdul Aabid, et al.
Published: (2024-04-01) -
Composite lay-up configuration effect on double and single sided bonded patch repairs
by: Toufik Achour, et al.
Published: (2022-07-01) -
Optimization of damage repair with piezoelectric actuators using the Taguchi method
by: Abdul Aabid, et al.
Published: (2024-01-01) -
Analysis of the crack-crack interaction effect initiated in aeronautical structures and repaired by composite patch
by: Nour Chafak Ibrahim, et al.
Published: (2018-09-01) -
Effect of temperature and adhesive defect on repaired structure using composite patch
by: Mohammed Abdulla, et al.
Published: (2025-01-01)