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

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...

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