Boosting inter‐ply fracture toughness data on carbon nanotube‐engineered carbon composites for prognostics

• Main Author: Joshi, Sunil Chandrakant
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering; Fracture Toughness; Carbon Composites
• Online Access: https://hdl.handle.net/10356/146340
• Institution: Nanyang Technological University

In order to build predictive analytic for engineering materials, large data is required for machine learning (ML). Gathering such a data can be demanding due to the challenges involved in producing specialty specimen and conducting ample experiments. Additionally, numerical simulations require effor...