Reduced-Order Physics-Informed Neural Network with Adaptive Basis Refinement for Structural Identification
This work proposes a Reduced-Order Physics-Informed Neural Network (RO-PINN) framework with adaptive basis refinement for structural identification under known and incomplete physics, and shows parameter identification comparable to or more accurate than Bayesian model updating with lower computational cost.