Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms

• Main Authors: Shaikh, Abdul Aabid, Raheman, Md Abdul, Hrairi, Meftah, Baig, Muneer
• Format: Article
• Language: English; English
• Published: Gruppo Italiano Frattura 2024
• Subjects: TA349 Mechanics of engineering. Applied mechanics; TA630 Structural engineering (General); TJ212 Control engineering
• Online Access: http://irep.iium.edu.my/111676/7/111676_Improving%20the%20performance%20of%20damage.pdf; http://irep.iium.edu.my/111676/8/111676_Improving%20the%20performance%20of%20damage_Scopus.pdf; http://irep.iium.edu.my/111676/; https://www.fracturae.com/index.php/fis/article/view/4838; https://doi.org/10.3221/IGF-ESIS.68.21

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 r...