Advancements in Physics-Informed Neural Networks for Laminated Composites: A Comprehensive Review

Advancements in Physics-Informed Neural Networks for Laminated Composites: A Comprehensive Review

Physics-Informed Neural Networks (PINNs) integrate physics principles with machine learning, offering innovative solutions for complex modeling challenges. Laminated composites, characterized by their anisotropic behavior, multi-layered structures, and intricate interlayer interactions, pose signifi...

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Bibliographic Details
Main Authors: Salman Khalid, Muhammad Haris Yazdani, Muhammad Muzammil Azad, Muhammad Umar Elahi, Izaz Raouf, Heung Soo Kim
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
Subjects:
physics-informed neural networks
laminated composites
structural health monitoring
multi-scale modeling
structural analysis
composite material optimization
Online Access:https://www.mdpi.com/2227-7390/13/1/17
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