An energy-based physics-informed neural network with optimized architecture for nonlinear bending of laminated composite plates via higher-order shear deformation theory

2026/06/12 by Vu Ngoc Viet Hoang, Jian Yang, Raj Kiran +2
Engineering · Physics and Astronomy · #Composite Structure Analysis and Optimization #Model Reduction and Neural Networks #Aeroelasticity and Vibration Control

paper · doi:10.1016/j.compstruc.2026.108323

Citations

• Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
• AT-PINN-HC: A refined time-sequential method incorporating hard-constraint strategies for predicting structural behavior under dynamic loads