Artificial intelligence in real-time diagnostics and prognostics of composite materials and its uncertainties—A review

MRP Elenchezhian, V Vadlamudi… - Smart Materials and …, 2021 - iopscience.iop.org
In the era of the 4th industrial revolution of big data, artificial intelligence (AI) is widely used
in each and every field of composite materials which includes design and analysis, material …

Machine learning applications in optical fiber sensing: A research agenda

E Reyes-Vera, A Valencia-Arias, V García-Pineda… - Sensors, 2024 - mdpi.com
The constant monitoring and control of various health, infrastructure, and natural factors
have led to the design and development of technological devices in a wide range of fields …

Strain Field Pattern Recognition for Structural Health Monitoring Applications

J Sierra-Pérez, J Alvarez-Montoya - Pattern Recognition Applications …, 2020 - igi-global.com
Strain field pattern recognition, also known as strain mapping, is a structural health
monitoring approach based on strain measurements gathered through a network of sensors …

[PDF][PDF] Damage Analysis and Prediction in Glass Fiber Reinforced Polyester Composite Using Acoustic Emis-sion and Machine Learning. J Robot Auto Res 3 (2), 131 …

S Gholizadeh - 2022 - opastpublishers.com
One of the most pervasive types of structural problems in aircraft industries is fatigue
cracking that can potentially occur without anticipation with catastrophic failures and …

Real-time Material State Assessment of Composites Using Artificial Intelligence and Its Challenges

MRP Elenchezhian - 2021 - mavmatrix.uta.edu
Over several decades of careful experimental investigation and exhaustive development of
discrete damage analysis methods including integrated computational mechanics methods …