Yong-Meng Liu

Physics-Informed Multi-Fidelity Graph Learning for Sequence-Aware Residual Bolt Preload Prediction in Hyperelastic-Sealed Flanges

Highlights What are the main findings? A physics-informed graph-learning workflow was developed for sequence-conditioned residual preload fields using EICM pre-training, nonlinear-discrepancy transfer, and ultrasonic measurement-based uncertainty quantification. On the augmented development split, TransformerConv-L3 ac...